Jobs at Capgemini

Defines and manages application testing strategy and technical testing activities. Develops test plans, cases, data, quality criteria, and measurement techniques; executes integration, system, regression, performance, stress, and volume testing. Analyzes requirements and results, manages defects, supports root-cause analysis and configuration management, validates acceptance criteria, recommends project stop/go decisions, coordinates testing workflows, resolves issues, and trains testing specialists on tools and methodologies.

Leads claims operations teams and supervisors, managing personnel, budgets, reporting, service-level agreements, quality, and performance. Executes claims strategy through technology and performance management while driving continuous improvement in efficiency and business processes. Responsibilities also include team communication, succession planning, stakeholder partnerships, and maintaining operational standards. The role may require working a non-traditional evening schedule.

Develop and support AI-enabled HR applications, conversational agents, workflow automation, and enterprise integrations. Responsibilities include data preparation, solution testing, deployment support, monitoring, governance, and continuous improvement in an Agile environment. The role collaborates with AI engineers, product owners, HR stakeholders, and technology teams while building foundational expertise across the AI solution lifecycle.

Administers and optimizes HRIS and claims systems, including configuration, permissions, testing, integrations, troubleshooting, reporting, upgrades, security, audits, vendor coordination, and technical end-user support. The role queries relational database data, maintains system documentation and procedures, recommends process improvements, and collaborates with IT and cross-functional teams using Agile methods.

Advise on Indian corporate, labor, employment, and regulatory matters; support regulator interactions, audits, investigations, and administrative proceedings; collaborate with global legal teams on cross-border issues; identify legal risks; and train HR and business leaders. The role requires advising multinational organizations, managing workplace investigations, navigating Indian employment law, and operating effectively in highly regulated, matrixed environments.

Lead and manage claims supervisors and estimators to deliver efficient, compliant claims operations. Oversee staffing, workflow, quality assurance, budgets, vendor relationships, and reporting. Translate enterprise claims strategy into operational plans, drive continuous improvement, handle escalations and customer inquiries, and support change management, training, and succession planning. Ensure regulatory compliance and partner with stakeholders to optimize processes and service delivery.

Design, build, and deploy enterprise-grade generative AI applications and agentic systems on GCP using Vertex AI, Gemini, and Google ADK. Implement RAG with vector databases, integrate agents with enterprise systems, optimize prompts and model performance, ensure security and governance, and contribute to CI/CD and cloud-native infrastructure for scalable production AI solutions.

Audit and approve employee timecards, track PTO/FMLA/leave, identify attendance trends using WFM and timekeeping systems, coordinate with Payroll/HR/Claims, produce ad hoc reports, and provide frontline timekeeping support to employees and leaders.

Administer and analyze agency compensation programs, sales incentives, achievement clubs, and performance reporting. Build dashboards, financial models, forecasts, budgets, and ROI analyses using Excel, Power BI, SQL, and Snowflake. Partner with distribution leaders and agency stakeholders to evaluate program effectiveness, provide actionable recommendations, monitor performance metrics, and support strategic planning and executive decision-making.

Lead product development using Agile principles. Manage team backlog, prioritize needs, oversee development stages, and communicate with stakeholders while mentoring junior product owners.

The FBS Data Engineer is responsible for acquiring, curating, and publishing data for analytical and operational purposes, creating ready-to-use data for consumers, and managing data projects of intermediate complexity with minimal supervision.

The FBS Fullstack Developer codes, tests, and documents programs, addresses production support issues, and analyzes application efficiency and requirements for system security and backup.

The consultant will design and implement international compensation programs, conduct market research, ensure regulatory compliance, provide advisory services, and develop policies to support global operations.

The Cloud Platform Engineer is responsible for designing and implementing cloud-native database infrastructure, automating configurations and workflows, and integrating observability platforms for predictive analysis. They ensure compliance, manage security, and lead incident response efforts in a multi-cloud environment.

Perform data-focused accounting tasks using Excel and basic programming. Conduct manual testing, apply SQL where preferred, and use analytical skills to manage and validate financial data. Work hours are 03:00 PM to 12:00 AM IST.

Manage tracking plans and data governance for customer and product analytics. Build Mixpanel dashboards, translate business needs into technical requirements, validate data quality, consult stakeholders, and support data integration across data-marts and warehouses. Liaise between IT and Product, troubleshoot data issues, and continuously improve analytics platforms and documentation.

The Learning and Development Consultant designs and facilitates learning solutions for Claims and FBS, partnering with stakeholders to evaluate and deliver effective training solutions.

The Scrum Master II facilitates Agile ceremonies, coaches teams, removes impediments, and promotes Lean-Agile principles. They track progress, partner with Product Owners, and create conditions for effective sprint outcomes.

Build and maintain full-stack, user-facing product features across distributed cloud architectures and agentic AI systems. Responsibilities include developing APIs, middleware, microservices, RAG pipelines, and autonomous agent workflows using modern cloud infrastructure. The role involves collaborating with product and design teams, shipping iteratively, analyzing user metrics, writing testable code, and participating in code reviews.

Lead full-stack engineering initiatives for user-facing products built on distributed cloud architectures and agentic AI systems. Architect scalable applications, APIs, microservices, RAG pipelines, and multi-agent workflows; establish engineering standards and security practices; mentor engineers; and partner with product, design, and leadership to translate strategy into technical roadmaps and production-ready features.