Job Description Design and build secure, scalable, and high-performing enterprise AI applications using modern AI technologies and engineering practices. Experience: 5 to 8 years / Work from Office Role Overview We are looking for a hands-on AI Engineer to design, develop, and deliver enterprise-grade AI applications. The role focuses on application engineering rather than model development. You will use modern AI technologies to build reliable solutions that meet enterprise requirements for quality, security, performance, scalability, and token efficiency. Key Responsibilities

• Design, develop, test, and deploy enterprise-grade AI applications.
• Integrate large language models and AI services with business applications, workflows, APIs, enterprise data sources, and systems.
• Build solutions using modern AI application patterns such as retrieval-augmented generation, semantic search, embeddings, vector retrieval, and agentic workflows.
• Develop reusable application components, services, prompts, integrations, and evaluation workflows.
• Optimise prompts, context, model usage, and application workflows to improve token efficiency, latency, response quality, and cost.
• Implement appropriate security controls, access restrictions, data-protection measures, guardrails, and human oversight.
• Establish evaluation and testing approaches covering response quality, accuracy, relevance, reliability, safety, and performance.
• Monitor AI applications in production and troubleshoot issues related to quality, latency, failures, integrations, and resource utilisation.
• Develop maintainable, well-documented code using established software-engineering practices.
• Collaborate with architects, application developers, security teams, product teams, and business stakeholders throughout the development lifecycle.
• Evaluate emerging AI tools and application frameworks for their suitability in enterprise use cases.
• Contribute to code reviews, technical documentation, engineering standards, and continuous improvement.

Required Qualifications

• 5 to 8 years of experience in software or application development, including hands-on experience building production-grade AI applications.
• Strong programming and software-engineering skills, preferably using Python or another relevant backend technology.
• Experience integrating applications with large language models, AI platforms, APIs, enterprise data sources, and business systems.
• Understanding of modern AI application patterns, including prompt engineering, context management, RAG, embeddings, semantic search, and vector databases.
• Experience developing secure, scalable, reliable, and high-performing enterprise applications.
• Understanding of AI application evaluation, testing, guardrails, observability, and production monitoring.
• Experience optimising AI applications for response quality, latency, token consumption, and cost.
• Knowledge of API development, authentication, authorisation, data security, and enterprise-integration practices.
• Strong analytical, debugging, problem-solving, communication, and collaboration skills.
• Ability to work independently while contributing effectively within cross-functional engineering teams.

Preferred Qualifications

• Experience building agentic AI applications or tool-enabled AI workflows.
• Experience deploying and operating AI applications in cloud or enterprise environments.
• Familiarity with containerisation, CI/CD, automated testing, and modern application-development practices.
• Experience applying responsible AI, privacy, security, and governance controls.
• Demonstrated experience taking AI applications from prototype or proof of concept to production.

Job Description Build and own automation across modern web applications, APIs, cloud services, and AI-enabled features. Help deliver secure, reliable, accessible, and high-performing digital experiences through scalable quality-engineering practices. Experience: 6+ years Employment Type: Full Time / Work From Office Role Overview We are looking for an experienced QA Automation Engineer to build and own test automation across a modern technology platform comprising React applications, Web Components, REST and GraphQL APIs, cloud services, and AI/LLM integrations. In this hands-on role, you will design scalable automation frameworks, establish coverage for new capabilities, and strengthen existing test suites for reliable execution within CI/CD pipelines. You will work across the user interface, API, integration, and data layers to identify quality risks early and enable faster, more confident releases. You will also contribute to the quality assurance of AI-enabled features by developing repeatable approaches for evaluating LLM integrations, nondeterministic outputs, security, performance, and reliability. Key Responsibilities

• Design, develop, and maintain scalable UI, API, integration, and end-to-end automation frameworks using Playwright, Jest, JavaScript, and TypeScript.
• Build automated test suites that validate complete user journeys across React single-page applications and Web Components.
• Develop functional, contract, integration, and regression tests for REST and GraphQL APIs.
• Own automation deliverables across test strategy, framework development, CI/CD integration, reporting, and continuous improvement.
• Validate AI/LLM-enabled features using representative test datasets, defined quality criteria, and automated regression checks.
• Test AI integrations for output relevance, consistency, safety, latency, error handling, and model or provider changes.
• Build mocks, stubs, and service-virtualisation solutions for cloud dependencies, authentication services, message queues, and AI/LLM providers.
• Automate security-sensitive workflows involving SSO, OAuth, JWT-based authorisation, file uploads, and asynchronous processing.
• Improve the stability of existing browser-automation suites by addressing flaky tests, environment issues, and pipeline failures.
• Integrate automated test suites into CI/CD pipelines with clear quality gates and actionable failure reporting.
• Apply AI-assisted engineering tools responsibly to improve test design, coverage analysis, and failure investigation.
• Collaborate with developers, product managers, and platform teams to identify quality risks early in the development lifecycle.
• Continuously improve automation coverage, execution speed, maintainability, and release confidence.

Required Qualifications

• 6+ years of experience in test automation for web applications, APIs, and integrated systems.
• Strong programming skills in JavaScript and TypeScript.
• Extensive hands-on experience with Playwright for browser automation and Jest for unit and integration testing.
• Proven experience testing GraphQL schemas, queries, and mutations, as well as REST APIs documented using OpenAPI or Swagger.
• Strong understanding of test-automation architecture, test-design patterns, and maintainable framework development.
• Experience testing React applications and Web Components.
• Experience with API contract testing and service-level validation.
• Experience mocking cloud-service dependencies and external integrations.
• Experience testing integrations with LLM or generative AI providers such as Vertex AI, OpenAI, or Gemini.
• Understanding of the challenges involved in testing nondeterministic AI outputs and creating repeatable validation approaches.
• Experience testing authentication and authorisation workflows involving JWT, SSO, and OAuth.
• Working knowledge of Docker, containerised test execution, and CI/CD platforms such as Jenkins or GitHub Actions.
• Strong analytical, troubleshooting, and root-cause analysis capabilities.
• Excellent communication, collaboration, and problem-solving skills.
• Strong ownership and a proactive approach to quality improvement.

Preferred Qualifications

• Experience with AI evaluation frameworks or automated evaluation methods for LLM-powered applications.
• Familiarity with testing prompt workflows, structured AI outputs, retrieval-augmented generation, or agent-based applications.
• Understanding of AI-related risks such as prompt injection, sensitive-data exposure, hallucinations, unsafe responses, and model regressions.
• Experience testing message queues such as RabbitMQ, AMQP, or similar technologies.
• Experience validating file-upload security pipelines, including antivirus-scanning integrations.
• Experience with visual-regression tools such as Percy, Chromatic, or framework-native snapshot testing.
• Experience with accessibility automation using axe-core or an equivalent tool.
• Familiarity with Web Component technologies such as Stencil or Lit.
• Experience working in monorepositories with multiple interdependent packages.
• Familiarity with test observability, failure analytics, or AI-assisted testing platforms.

Job Description Design and deliver secure, scalable enterprise applications, portals, integrations, and intelligent automation using Microsoft Power Platform, Dynamics 365, and Azure services. Experience: 5+ years Employment Type: Full Time / Remote Role Overview We are looking for an experienced Microsoft Power Platform Developer to design, develop, and support enterprise solutions using Power Pages, Power Apps, Power Automate, Dataverse, Dynamics 365, and Azure services. You will collaborate with business stakeholders, architects, and delivery teams to translate requirements into secure, maintainable, and user-centric solutions. You will also evaluate AI Builder, Microsoft Copilot Studio, and related AI capabilities where they provide meaningful business value. Key Responsibilities

• Design, develop, and support Power Pages portals, model-driven and canvas apps, Power Automate workflows, Dataverse solutions, and Dynamics 365 applications.
• Configure Dataverse data models, forms, business rules, security roles, authentication, authorisation, and access controls.
• Develop custom components, PCF controls, plugins, workflows, and connectors using C#, .NET, JavaScript/TypeScript, HTML, and CSS.
• Build integrations with internal and external systems using REST APIs, Azure Functions, App Services, and other Azure services.
• Participate in discovery and design workshops, providing technical input on architecture, integration, data, security, and deployment.
• Evaluate AI Builder, Copilot Studio, and approved AI-assisted development tools for intelligent automation and improved delivery productivity.
• Support testing, deployment, release management, troubleshooting, and continuous enhancement using Azure DevOps and CI/CD practices.
• Conduct code reviews and produce technical documentation, deployment guides, and knowledge-transfer materials.
• Collaborate with cross-functional Agile teams while ensuring adherence to development, security, accessibility, and quality standards.

Required Qualifications

• 5+ years of experience developing and delivering enterprise business applications using Microsoft technologies.
• Strong hands-on experience with Power Pages, Power Apps, Power Automate, Dataverse, and Dynamics 365.
• Proficiency in C#, .NET, JavaScript/TypeScript, HTML, CSS, and REST APIs.
• Experience with Azure Functions, App Services, API integrations, custom components, and Dataverse plugins.
• Strong understanding of Power Platform security, application lifecycle management, environments, managed solutions, and deployment practices.
• Experience using Azure DevOps, source control, build pipelines, and CI/CD processes.
• Demonstrated ability to deliver secure, scalable, and maintainable enterprise solutions.
• Strong analytical, troubleshooting, problem-solving, communication, and stakeholder-management skills.
• Ability to take ownership and work effectively within cross-functional Agile teams.

Preferred Qualifications

• Experience delivering secure and accessible external-facing portals using Power Pages.
• Experience with Dynamics 365 Customer Service and Case Management.
• Experience developing PCF controls and Dataverse plugins.
• Familiarity with AI Builder, Copilot Studio, Azure OpenAI, or other enterprise AI services.
• Understanding of Power Platform governance, tenant and environment strategies, and Centre of Excellence practices.
• Knowledge of responsible AI principles, including privacy, security, governance, output validation, and human oversight.
• Relevant Microsoft certifications in Power Platform, Dynamics 365, or Azure.

Job Description Lead the architecture of enterprise platform-modernisation and data-migration programs, delivering secure, scalable, integrated, and AI-ready solutions. Experience: 10+ years Employment Type: Full Time / Remote Role Overview We are looking for an experienced Solution Architect to lead the target-state architecture for a major platform-modernisation and data-migration program. You will work across application, data, integration, workflow, security, testing, and cutover activities. As the primary architecture lead, you will collaborate with business stakeholders, technical teams, vendors, and project leadership to translate requirements into practical, scalable solutions. This role requires strong consulting and functional architecture capabilities combined with hands-on technical delivery experience. Key Responsibilities

• Define and govern the end-to-end target-state architecture across application, data, integration, workflow, experience, and security layers.
• Lead discovery and design workshops with business and technical stakeholders.
• Translate functional and non-functional requirements into solution designs, implementation roadmaps, and architecture artefacts.
• Lead data-migration design across profiling, cleansing, mapping, transformation, reconciliation, validation, and cutover.
• Define integration approaches using APIs, events, middleware, Azure services, and appropriate enterprise patterns.
• Act as the design authority, reviewing technical solutions and managing architectural risks, dependencies, and technical debt.
• Establish security, identity, access-control, privacy, resilience, performance, and regulatory requirements.
• Assess AI and intelligent-automation opportunities based on business value, data readiness, feasibility, and risk.
• Define responsible AI guardrails covering data protection, human oversight, output validation, and monitoring.
• Support testing, migration rehearsals, UAT, operational readiness, deployment, and cutover while ensuring alignment with the approved architecture.

Required Qualifications

• 10+ years of experience in solution architecture and enterprise technology delivery.
• Proven experience leading platform modernisation, transformation, re-platforming, or large-scale migration programs.
• Hands-on experience across technical design, configuration, development, integration, build, deployment, and implementation.
• Strong experience designing and governing complex data migrations.
• Experience with Microsoft technologies such as Power Platform, Dataverse, Dynamics 365, Azure Integration Services, or comparable enterprise platforms.
• Strong knowledge of API-led, event-driven, cloud, security, and enterprise integration patterns.
• Ability to lead architecture across concurrent workstreams and balance strategic direction with delivery constraints.
• Strong consulting, stakeholder-management, workshop-facilitation, and communication skills.

Preferred Qualifications

• Experience delivering transformation programs in financial services, government, or another regulated industry.
• Experience with identity and access-management architecture.
• Experience designing AI-enabled or intelligent-automation solutions.
• Familiarity with Microsoft Copilot Studio, AI Builder, Azure AI services, Azure OpenAI, or equivalent technologies.
• Understanding of responsible AI, data readiness, platform governance, and enterprise security.

Job Description Shape client opportunities by translating business needs into compelling technology solutions across Data and AI, Cloud, Digital, and Enterprise Applications. Experience: 8 to10 years Employment Type: Full Time / Work from Office, 5 days a week Role Overview We are looking for an experienced Presales Consultant to connect our Sales, Delivery, Practice, and Client teams. You will understand client priorities, position Covalense Global’s capabilities, and support the complete presales lifecycle, from opportunity qualification and discovery through solution development, proposals, presentations, and handover. You will help clients understand how cloud, data, AI, intelligent automation, digital engineering, and enterprise applications can address their business challenges. This role requires strong IT services knowledge, commercial awareness, compelling communication, and confidence engaging with CXOs and technology leaders. Key Responsibilities

• Support the end-to-end presales lifecycle, including opportunity qualification, discovery, solution positioning, proposal development, presentations, and handover.
• Understand client objectives, pain points, technology landscapes, and industry context to identify relevant solution opportunities.
• Position Covalense Global’s capabilities across Data and AI, Cloud, Digital, and Enterprise Applications.
• Lead or coordinate RFI and RFP responses, ensuring accuracy, consistency, differentiation, and timely submission.
• Prepare executive presentations, capability showcases, solution briefs, case studies, proposals, and other client-facing content.
• Collaborate with sales leaders, solution architects, delivery teams, practice heads, and subject-matter experts to develop practical client-specific solutions.
• Develop effort estimates, delivery approaches, assumptions, dependencies, risks, and commercial inputs in collaboration with relevant teams.
• Define clear value propositions and measurable business outcomes for proposed solutions, including AI-enabled offerings.
• Support competitive analysis, solution differentiation, deal reviews, demonstrations, and solution-defence sessions.
• Identify appropriate AI and intelligent-automation use cases based on business value, data readiness, feasibility, security, governance, and responsible AI considerations.
• Articulate the value and limitations of AI-enabled solutions without overstating capabilities, outcomes, or implementation readiness.
• Use approved AI-assisted tools responsibly for research, solution ideation, proposal development, content personalisation, and quality reviews.
• Maintain reusable presales assets, including proposal templates, capability decks, solution briefs, case studies, and client success stories.
• Ensure a structured handover to delivery teams, covering agreed scope, solution design, assumptions, dependencies, risks, and client commitments.

Required Qualifications

• 8 to 10 years of experience in presales, solution consulting, or business-development support within an IT services or consulting organisation.
• Strong understanding of IT services across Data and AI, Cloud, Digital Engineering, and Enterprise Applications.
• Experience with opportunity qualification, solution discovery, proposal development, RFI and RFP responses, presentations, and client-facing content.
• Ability to translate business requirements and technical concepts into clear solution narratives, value propositions, and business outcomes.
• Good understanding of AI, generative AI, intelligent automation, cloud, data platforms, and enterprise technology trends.
• Familiarity with solution estimation, delivery models, commercial inputs, assumptions, dependencies, and risk management.
• Excellent communication, presentation, storytelling, stakeholder-management, and proposal-writing skills.
• Confidence engaging with CXOs, business leaders, technology decision-makers, architects, and delivery teams.
• Strong analytical thinking, collaboration, organisation, attention to detail, and ownership.
• Bachelor’s or master’s degree in Engineering, Computer Science, Business, or a related field.

Preferred Qualifications

• Presales experience across BFSI, Healthcare, Retail, Manufacturing, or Telecom.
• Experience developing proposals for AI, cloud, data, digital-transformation, or enterprise-application services.
• Experience supporting discovery workshops, demonstrations, proofs of concept, solution-defence sessions, or account-growth initiatives.
• Understanding of responsible AI principles, including privacy, security, governance, transparency, and human oversight.
• Familiarity with CRM, proposal-management, presentation, research, and approved AI productivity tools.

Job Description Build qualified sales opportunities by connecting client needs with Covalense Global’s capabilities across Data and AI, Cloud, Digital, and Enterprise Applications. Experience: 4 to 7 years Employment Type: Full Time / Work from Office, 5 days a week Role Overview We are looking for an experienced Business Development Executive to identify prospective clients, generate qualified opportunities, and manage the sales cycle from initial outreach through closure. You will use consultative selling, market insights, CRM platforms, and approved AI tools to understand client priorities, personalise engagement, communicate business value, and build lasting customer relationships. Key Responsibilities

• Generate leads through outbound calls, emails, LinkedIn, referrals, campaigns, and account-based prospecting.
• Research target accounts, industries, decision-makers, business challenges, and technology priorities.
• Use approved AI and sales-intelligence tools to prioritise prospects, personalise outreach, summarise interactions, and recommend follow-up actions.
• Conduct discovery conversations and qualify opportunities based on client needs, solution fit, decision process, budget, and timelines.
• Position relevant Data and AI, Cloud, Digital, and Enterprise Application services through value-led conversations and presentations.
• Coordinate demonstrations, solution discussions, proposals, and negotiations with Presales, Practice, and Delivery teams.
• Manage opportunities from qualification through closure and ensure a structured handover to delivery.
• Maintain accurate CRM records, pipeline visibility, forecasts, and sales activity reports.
• Meet agreed lead-generation, conversion, pipeline, and revenue targets.
• Nurture client relationships through timely follow-ups, relevant insights, and solution-focused communication.
• Monitor market developments, competitor activities, and emerging technology trends.
• Use AI-assisted sales tools responsibly while protecting confidential prospect and customer information.

Required Qualifications

• 4 to 7 years of experience in business development, inside sales, or technology-services sales.
• Proven experience in B2B prospecting, lead qualification, pipeline development, and closing.
• Understanding of IT services across Data and AI, Cloud, Digital, or Enterprise Applications.
• Experience with consultative selling, discovery, presentations, demonstrations, negotiation, and relationship management.
• Proficiency in CRM systems and familiarity with AI-assisted prospecting or sales-intelligence tools.
• Strong verbal and written communication, research, analytical, and organisational skills.
• Ability to work independently, manage multiple opportunities, and perform in a target-driven environment.
• Bachelor’s degree in Business, Marketing, Engineering, Technology, or a related field.

Preferred Qualifications

• Experience selling IT services, consulting, digital-transformation, cloud, data, AI, or enterprise-application solutions.
• Experience engaging business and technology decision-makers in international markets.
• Familiarity with account-based selling, lead scoring, sales-qualification frameworks, and data-driven prospecting.
• Understanding of responsible AI use, data privacy, and appropriate handling of customer information.

Job Description Drive revenue growth for Covalense Global’s AI and GenAI portfolio through enterprise sales, strategic partnerships, and value-led client engagement. Experience: 8 to 12 years Employment Type: Full Time / Work from Office, 5 days a week Role Overview We are looking for a results-driven Sales Manager to grow our AI and GenAI portfolio through direct enterprise sales and strategic partner channels. You will identify opportunities, engage senior decision-makers, manage complex sales cycles, and build relationships with resellers, system integrators, and technology partners. The role requires practical knowledge of generative AI, agentic AI, LLMs, automation, and analytics, with the ability to translate these capabilities into measurable business value. Key Responsibilities

• Develop and execute sales strategies for AI and GenAI products and solutions across target industries and accounts.
• Build qualified pipeline through prospecting, campaigns, referrals, events, partners, and account-based engagement.
• Manage the complete sales cycle, including discovery, qualification, demonstrations, proposals, negotiations, and closure.
• Engage CXOs and technology leaders to position AI solutions against relevant business priorities and measurable outcomes.
• Collaborate with Product, Presales, Engineering, Delivery, and Marketing teams to develop solution narratives, business cases, and proposals.
• Qualify AI opportunities based on value, data readiness, integration, security, governance, feasibility, and adoption requirements.
• Recruit, onboard, enable, and manage resellers, system integrators, technology alliances, and channel partners.
• Develop joint go-to-market plans that drive co-selling, partner-sourced pipeline, and market expansion.
• Maintain accurate CRM records, forecasts, deal progress, partner performance, and revenue reporting.
• Achieve agreed revenue, pipeline, conversion, new-logo, and channel-sourced growth targets.
• Monitor competitive offerings, AI regulations, and emerging trends while using approved AI-assisted sales tools responsibly.

Required Qualifications

• 8 to 12 years of experience in B2B or enterprise solution sales within AI, SaaS, cloud, or IT services.
• Demonstrated success managing complex sales cycles and closing high-value enterprise deals.
• Experience in channel sales, partner management, alliance development, onboarding, and enablement.
• Working knowledge of generative AI, agentic AI, LLMs, automation, analytics, and enterprise AI use cases.
• Experience with consultative selling, value articulation, business cases, demonstrations, proposals, and negotiations.
• Strong relationships and communication skills with enterprise clients, CXOs, partners, and internal teams.
• Experience managing CRM pipelines, forecasts, revenue targets, and partner performance.
• Strong commercial acumen, strategic thinking, ownership, adaptability, and results orientation.

Preferred Qualifications

• Experience selling AI, GenAI, enterprise SaaS, cloud, or digital-transformation solutions.
• Exposure to AWS, Microsoft Azure, or Google Cloud.
• Established relationships with enterprise clients, resellers, system integrators, or technology partners.
• Understanding of responsible AI, data privacy, security, governance, and regulatory considerations.
• Familiarity with AI discovery workshops, proofs of concept, enterprise sales frameworks, and account-based selling.

MBA or equivalent postgraduate qualification.

Job Description Design, build, and deploy production-ready data analytics, machine learning, Generative AI, and agentic AI solutions that deliver measurable business outcomes. Experience: 4 to 10 years Employment Type: Full Time / Hybrid Role Overview We are looking for a hands-on AIML Engineer to develop scalable solutions across data analytics, machine learning, deep learning, Generative AI, agentic AI, and data engineering. You will work across the complete AI lifecycle, from data preparation and model development to deployment, evaluation, monitoring, and continuous improvement. This role requires strong Python engineering skills and demonstrated experience delivering production-grade AI solutions. Key Responsibilities

• Translate business challenges into practical analytics, AI, and machine learning use cases with measurable success criteria.
• Analyse structured and unstructured data to identify patterns, generate insights, engineer features, and support model development and business decisions.
• Design, build, and deploy machine learning and deep learning models using Python and modern AI frameworks.
• Develop Generative AI applications using OpenAI, Azure OpenAI, Gemini, Claude, or equivalent enterprise LLM platforms.
• Build RAG pipelines, semantic-search solutions, embedding workflows, and vector-based retrieval systems.
• Design tool-enabled agentic and multi-agent workflows using LangChain, LangGraph, LlamaIndex, CrewAI, or similar frameworks.
• Develop scalable data pipelines using SQL, Spark, PySpark, Kafka, Airflow, and modern data platforms.
• Establish evaluation frameworks covering model accuracy, relevance, safety, reliability, latency, and cost.
• Deploy and manage AI solutions using cloud platforms, Docker, CI/CD, and MLOps or LLMOps practices.
• Monitor model performance, data drift, failures, security risks, and production quality.
• Apply responsible AI practices covering privacy, explainability, governance, human oversight, and secure AI development.
• Collaborate with product, data, engineering, security, and business teams throughout the solution lifecycle.

Required Qualifications

• 4 to 10 years of experience in artificial intelligence, machine learning, data analytics, data science, or data engineering.
• Strong hands-on experience developing production-ready AI solutions using Python.
• Strong knowledge of exploratory data analysis, statistical modelling, feature engineering, machine learning, deep learning, and model evaluation.
• Experience with Scikit-learn, TensorFlow, PyTorch, XGBoost, LSTM, or comparable frameworks.
• Hands-on experience with LLMs, prompt engineering, RAG, embeddings, semantic search, and vector databases.
• Experience with agentic AI frameworks and tool-enabled or multi-agent workflows.
• Proficiency in SQL and experience building scalable data-processing pipelines.
• Experience with AWS, Microsoft Azure, or Google Cloud.
• Knowledge of Docker, MLflow, SageMaker, CI/CD pipelines, or comparable MLOps technologies.
• Strong analytical, problem-solving, communication, and cross-functional collaboration skills.

Preferred Qualifications

• Experience delivering production-grade analytics, AI, and machine learning solutions in enterprise environments.
• Experience with NLP, document intelligence, OCR, graph analytics, computer vision, or time-series modelling.
• Familiarity with model fine-tuning, AI observability, guardrails, evaluation, and cost-performance optimisation.
• Experience with Snowflake, PostgreSQL, Redshift, Databricks, or comparable data platforms.
• Experience in financial services, banking, insurance, healthcare, or another regulated industry.
• Demonstrated success delivering measurable business outcomes through data analytics, AI, and machine learning.

Job Description: Build compelling AI, Generative AI, and agentic AI solutions that transform client challenges into practical, scalable, and measurable business outcomes. Experience: 8 to 12 years Employment Type: Full Time / Work from Office, 5 days a week Role Overview We are looking for a hands-on AI Solutions Lead to build client-specific prototypes, showcase Covalense Global’s AI capabilities, and shape high-value enterprise AI opportunities. You will combine deep technical expertise with strong client-facing communication. You will work with CXOs, technology leaders, architects, sales teams, and delivery teams to conduct discovery sessions, develop POCs, deliver live demonstrations, and translate successful concepts into scalable solution roadmaps. Key Responsibilities

• Build POCs, prototypes, demonstrations, and reusable accelerators for AI, Generative AI, and agentic AI use cases.
• Translate client challenges into practical AI solution concepts, architectures, and measurable business outcomes.
• Develop AI agents and multi-agent workflows integrated with enterprise data, APIs, tools, and applications.
• Design RAG pipelines, semantic search, embedding workflows, vector retrieval, and knowledge-grounding solutions.
• Conduct discovery workshops to assess business value, data readiness, technical feasibility, security, and adoption requirements.
• Present solution narratives, technical deep-dives, and live demonstrations to CXOs, IT leaders, and engineering teams.
• Evaluate AI solutions for accuracy, relevance, safety, reliability, latency, scalability, and cost.
• Implement guardrails, secure tool access, human oversight, observability, and responsible AI practices.
• Collaborate with Technical Directors and Architects to align POCs with platform architecture and engineering standards.
• Convert successful prototypes into pilots, MVP roadmaps, reusable assets, and structured delivery handovers.
• Share client and market insights with Product, Engineering, Sales, and Presales teams to influence solution roadmaps.
• Mentor delivery teams on LLM applications, agentic workflows, evaluation techniques, and enterprise AI practices.
• Represent Covalense Global at client forums, conferences, webinars, and industry events.
• Create thought-leadership content, including blogs, whitepapers, solution briefs, and technical perspectives.

Required Qualifications

• 8 to 12 years of technology experience, including substantial hands-on experience building AI, ML, or Generative AI solutions.
• Strong Python programming skills with the ability to rapidly develop functional, client-ready prototypes.
• Experience building LLM-powered applications, AI agents, or multi-agent workflows.
• Hands-on experience with frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, Semantic Kernel, AutoGen, or equivalent.
• Strong understanding of prompt and context engineering, RAG, embeddings, semantic search, and vector databases.
• Experience with Azure OpenAI, Azure AI Foundry, AWS Bedrock, Google Vertex AI, OpenAI, Claude, Gemini, or comparable platforms.
• Experience integrating AI solutions with enterprise data sources, APIs, tools, and business applications.
• Understanding of AI evaluation, observability, guardrails, privacy, security, responsible AI, and human-in-the-loop controls.
• Ability to lead discovery workshops, executive presentations, technical discussions, and live demonstrations.
• Strong solution storytelling, communication, stakeholder-management, and cross-functional collaboration skills.

Preferred Qualifications

• Experience in FMCG, CPG, Retail, or another data-intensive industry.
• Experience with DataOps, data engineering, analytics, or business intelligence.
• Familiarity with SAP, Salesforce, ServiceNow, Dynamics 365, Power Platform, or similar enterprise systems.
• Experience progressing POCs into pilots, MVPs, or production implementations.
• Experience speaking at conferences, delivering webinars, or publishing technical content.
• Familiarity with agent interoperability standards such as MCP or A2A.

Job Description Define practical cloud architecture standards, patterns, and governance controls while guiding and assuring secure, resilient, and scalable cloud solutions. Experience: 8+ years Employment Type: Full Time / Onsite Role Overview We are looking for a hands-on Domain Architect – Cloud to translate enterprise cloud, security, infrastructure, data residency, and operational requirements into practical architecture standards, reference patterns, templates, and governance artefacts. You will guide product teams and vendors throughout the cloud solution lifecycle, review enterprise-scale designs, assess architectural compliance, and provide recommendations and approval inputs at defined quality gates. Key Responsibilities

• Translate enterprise architecture, cloud, security, infrastructure, data residency, and operational policies into clear cloud architecture standards and guidelines.
• Develop and maintain cloud reference architectures, approved patterns, design templates, review checklists, quality-gate criteria, and architecture decision records.
• Define standards covering cloud landing zones, networking, identity and access management, security, containers, hosting, resilience, backup, disaster recovery, observability, and infrastructure automation.
• Provide hands-on cloud architecture guidance during planning, sourcing, design, implementation, and operational-readiness stages.
• Review high-level designs, low-level designs, infrastructure designs, deployment architectures, connectivity designs, and disaster-recovery plans prepared by product teams and vendors.
• Assess cloud solutions for compliance with security, scalability, availability, performance, interoperability, data residency, and operational requirements.
• Identify architecture risks, design gaps, technical debt, non-compliance, and required remediation actions.
• Promote the reuse of approved cloud services, shared components, deployment patterns, and infrastructure templates.
• Evaluate emerging cloud technologies and provide recommendations on architecture fit and adoption.
• Support cloud architecture quality gates and provide domain-architecture recommendations and approval inputs.

Required Qualifications

• 8+ years of experience in infrastructure and cloud technologies, including cloud architecture responsibilities.
• Strong hands-on experience developing cloud standards, reference architectures, approved patterns, templates, and governance artefacts.
• Strong knowledge of cloud landing zones, networking, security, identity and access management, containers, hosting, resilience, disaster recovery, observability, and infrastructure as code.
• Experience reviewing and assuring enterprise-scale cloud solutions.
• Ability to identify architectural risks, compliance gaps, technical debt, and appropriate remediation measures.
• Experience guiding product teams and vendors through cloud planning, design, implementation, and readiness activities.

Preferred Qualifications

• Relevant professional-level cloud architecture certification.
• Experience working in government, regulated-sector, or large-enterprise environments.

Solutions Architect Translate enterprise architecture policies into practical CDP architecture standards, reusable artefacts, and secure, scalable solution designs. Experience: 8+ years Employment Type: Full Time / Onsite Role Overview We are looking for a hands-on Solutions Architect to translate enterprise architecture policies and organisational standards into practical CDP architecture standards, templates, processes, and reusable artefacts. You will provide end-to-end architecture guidance and assurance to product teams and vendors, supporting solutions from ideation and planning through design and delivery. The role requires broad expertise across application, integration, data, cloud, security, and non-functional architecture. Key Responsibilities

• Translate enterprise architecture, security, cloud, integration, data, and technology policies into clear CDP technical standards and guidelines.
• Develop and maintain architecture principles, reference architectures, approved patterns, templates, checklists, processes, and quality-gate criteria.
• Create and maintain architecture governance artefacts, including high-level design and low-level design templates, review checklists, architecture decision records, risk registers, compliance assessments, and approval workflows.
• Provide hands-on architecture support throughout ideation, planning, sourcing, design, and delivery.
• Guide product teams and vendors on solution design, technology selection, integration, data, security, cloud, and non-functional requirements.
• Review high-level designs, low-level designs, integration designs, and other technical artefacts prepared by delivery teams.
• Evaluate solutions for security, scalability, integration, compliance, and alignment with enterprise architecture standards.
• Identify architecture risks, gaps, dependencies, non-compliance, and required remediation actions.
• Promote the reuse of approved shared services, components, reference architectures, and design patterns.
• Support architecture quality gates and provide architecture recommendations and approval decisions.

Required Qualifications

• 8+ years of relevant technology experience, including solution architecture responsibilities.
• Strong hands-on experience developing architecture standards, templates, processes, reference architectures, and governance artefacts.
• Experience reviewing and guiding secure, scalable, and integrated enterprise solutions.
• Strong knowledge of application, integration, data, cloud, security, and non-functional architecture.
• Experience reviewing high-level designs, low-level designs, integration designs, and related technical documentation.
• Strong technical documentation, stakeholder-management, and vendor-management skills.
• Ability to identify architecture risks, dependencies, compliance gaps, and appropriate remediation measures.

Preferred Qualifications

• Experience working in government or large-enterprise environments.

Job Description: 

End-to-End Testing Engineer – Life Insurance Domain

About the Role

We are seeking skilled End-to-End Testing Engineers with strong expertise in the Life Insurance domain. The role involves testing across multiple systems—new business systems, admin systems, downstream systems, and online platforms—to ensure seamless policy validation and end-to-end process coverage.

Key Responsibilities

• Develop and execute test strategies, test plans, and test cases for life insurance applications.
• Perform end-to-end testing across multiple systems including:
  • Aegis, ELE, nbA, SmartFix, Life70 (Admin System)
  • Andesa, COIL, downstream systems (commissions, online portals like CHBM)
• Conduct functional and system testing for:
  • New business functions
  • Admin system functions
  • ASL check system
  • Proposal/Aegie testing
  • Post level term validations
• Collaborate with cross-functional teams to ensure comprehensive test coverage.
• Report, track, and verify defects to closure.

Required Skills & Technologies

• Automation & Functional Testing Tools: Selenium, Postman, UI Path (RPA)
• Programming & Scripting: Python, SQL
• Testing Areas: API, ETL, Mainframe, Database Testing
• Databases: Oracle
• Strong understanding of Life Insurance ecosystem and related systems

Domain Knowledge

• In-depth knowledge of Life Insurance products and processes
• Experience in policy lifecycle testing (new business to admin & downstream functions)
•  

Qualifications

• Bachelor’s degree in Computer Science, IT, or related field (preferred).
• 5+ years of experience in software testing, with focus on life insurance systems.
• Proven ability to work in an offshore model, aligning with US EST time zone.

Job Type: Full Time (WFO) Years of Experience: 2–6 Years Job Description: We are looking for a QA Engineer with balanced expertise in Manual and Automation Testing, capable of working independently on test planning, execution, and reporting. Role Focus: Design and execute test cases for web and API applications, automate regression suites, and ensure product quality through continuous validation and improvement. Key Skills & Experience

• Manual Testing: Functional, Integration, Regression, and UAT testing. • Automation Testing: Hands-on experience with Selenium, Postman, or similar tools. • API Testing: Experience with RESTful APIs using tools like Swagger, Postman, or JMeter. • Defect Tracking: Experience with Jira, Azure DevOps, or similar platforms. • Test Documentation: Creating detailed test cases, bug reports, and traceability matrices. • CI/CD & Version Control: Familiarity with Jenkins, Git, or Azure DevOps.

Additional Qualities

• Ability to work independently with ownership of deliverables. • Analytical mindset with attention to detail. • Strong written and verbal communication. • Collaborative attitude with developers and stakeholders.

Preferred Experience

• 2–6 years of QA experience in both Manual and Automation testing. • Exposure to testing web applications built on .NET and Angular. • Experience in Agile environments with short sprint cycles.

Job Description:

Power BI Developer – Business Intelligence Team

Role Focus:
Design, develop, and optimize Power BI dashboards and SQL-based data models to deliver actionable insights across business functions. Collaborate with stakeholders and data teams to enhance reporting efficiency and accuracy.

Key Skills & Experience

• Power BI Development

• Build, publish, and optimize Power BI dashboards and data models.
• Strong in DAX, data modeling, and performance tuning.
• Implement row-level security and visualization best practices.

• SQL Development

• Write efficient SQL queries for data extraction and transformation.
• Experience with data warehousing and dimensional modeling.
• Work on performance optimization and query tuning.

• Data Integration & Governance

• Work with Azure SQL, Synapse, SAP/BW, and APIs.
• Ensure data accuracy, consistency, and security in reports.

• Collaboration & Analysis

• Partner with business teams to define KPIs and metrics.
• Translate requirements into meaningful, automated dashboards.

Additional Qualities

• Strong analytical and problem-solving mindset.
• Excellent communication and teamwork skills.
• Passion for continuous learning in BI tools and Azure data technologies.

Preferred Experience

• 3–7 years in Business Intelligence or Data Analytics.
• Hands-on with Power BI, SQL, and Azure data services.
• Exposure to SAP/BW, Databricks, or enterprise-scale BI projects preferred.

Job Description:

We are seeking a highly experienced Lead Data Scientist to define and drive the data science strategy across predictive analytics, promotion simulation, consumer trend modeling, and computer vision initiatives. This role involves leading the design, development, and deployment of advanced AI and machine learning solutions that enable data-driven decision-making across marketing, sales, and innovation functions.

The ideal candidate is a hands-on leader who can balance strategic direction with technical depth — mentoring the team while delivering production-grade models that generate measurable business impact.

Role Focus:

• Define and oversee modeling frameworks for forecasting, consumer analytics, and computer vision.

• Translate complex business challenges into scalable data science solutions.

• Build, validate, and optimize predictive and simulation models for demand forecasting and promotion impact.

• Lead the design of AI-based applications including image recognition, trend detection, and innovation analytics.

• Ensure strong MLOps, model governance, and data quality practices.

• Partner with stakeholders across marketing, technology, and operations to integrate models into business workflows.

Key Skills & Responsibilities

• Advanced Machine Learning & AI: Proficiency in regression, classification, clustering, NLP, and computer vision models

• Predictive Modeling: Expertise in forecasting, time-series (ARIMA, Prophet, LSTM), and causal inference.

•  Promotion & Consumer Analytics: Experience developing simulation models for pricing, promotions, and ROI analysis.

•  Computer Vision: Hands-on with OpenCV, YOLO, or Detectron2 for visual analytics, shelf detection, and product recognition.

•  Technical Proficiency: Strong coding skills in Python/R, SQL, and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).

•  MLOps & Deployment: Skilled in Azure ML, Databricks, or AWS SageMaker for scalable model deployment and monitoring.

•  Visualization: Strong data storytelling abilities using Power BI or Tableau.

•  Leadership: Mentor junior data scientists, establish best practices, and ensure alignment with business goals.

Additional Qualities

• Excellent analytical and strategic thinking skills.

•  Proven ability to deliver end-to-end AI projects in complex environments.

•  Strong communication and stakeholder management capabilities.

• Passion for leveraging AI/ML to solve real-world business challenges.

Preferred Experience

• 8–12 years of experience in data science, including leadership or mentoring responsibilities.

• Experience in predictive analytics, consumer insights, or computer vision projects.

•  Exposure to marketing mix modeling, A/B testing, and campaign optimization.

• Familiarity with cloud data ecosystems (Azure, AWS, GCP) and CI/CD for ML pipelines.