9 days ago
Navi Mumbai, IndiaSenior
Responsibilities
- Lead GenAI, agentic AI, and AI-SDLC transformation initiatives across engineering teams.
- Design and implement RAG pipelines, vector databases, embeddings, and AI-powered engineering solutions.
- Drive adoption of specification-driven development and AI-assisted software delivery practices.
- Integrate AI capabilities with GitHub, Jira, CI/CD, SonarQube, and developer toolchains.
- Define transformation roadmaps and engage stakeholders to deliver measurable business value.
Requirements
- At least 4 years of experience working as a software engineer.
- At least 2 years of GenAI experience.
- Strong hands-on expertise in GenAI, prompt engineering, RAG, agentic AI, and AI development tools.
- Experience with Copilot, Claude, AI agents, and AI-driven software engineering practices.
- Proven track record leading large-scale engineering transformations.
- Background in Java or .NET, microservices, cloud platforms including AWS, Azure, or GCP, DevOps, and SRE.
- Strong leadership, consulting, communication, and stakeholder management skills.
Benefits
- Career paths, internal opportunities, and personalized career guidance from company leaders.
- Wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, and new-parent support via flexible work.
- Opportunities to work on technology and engineering projects with industry leaders and societal or environmental challenges.
Tech Stack
Categories
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.