1 month ago
Kolkāta, IndiaStaff+
Responsibilities
- Design end-to-end AI, Generative AI, and Agentic AI solutions on Google Cloud Platform.
- Define enterprise architecture, security, governance, scalability, responsible AI, and data governance standards.
- Architect Agentic AI solutions using LLMs, RAG, vector databases, orchestration frameworks, and multi-agent architectures.
- Conduct technical workshops and solution discovery sessions with business stakeholders and engineering teams.
- Translate business requirements into scalable AI solutions and provide architectural guidance to development and DevOps teams.
- Lead proofs of concept, minimum viable products, and production implementations.
Requirements
- 10+ years of IT experience.
- 4+ years of cloud solution architecture experience.
- 3+ years of experience with AI/ML and Generative AI solutions.
- Hands-on experience with GCP AI services.
- Experience with GCP, Vertex AI, Gemini Models, BigQuery, Cloud Run, GKE, Cloud Functions, Pub/Sub, API Gateway, IAM and security controls, RAG architecture, vector databases, LangChain or LangGraph, and multi-agent architecture design.
Benefits
- Career paths, internal opportunities within the Capgemini group, and personalized career guidance.
- Comprehensive wellness benefits including health checks, telemedicine, insurance 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 on societal and environmental solutions.
Tech Stack
Categories
AI ApplicationsSolutions Engineering
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.