Join a leading global transformation partner and shape your career in a collaborative environment. Capgemini empowers you to reimagine possibilities and unlock the value of technology for clients worldwide, building a more sustainable and inclusive future.

We are seeking a seasoned GCP AI Solution Architect to spearhead the design and implementation of enterprise-scale AI, Generative AI, and Agentic AI solutions on Google Cloud Platform. This role involves close collaboration with business stakeholders, product teams, and engineering to define scalable architectures and ensure successful project delivery.

Your primary responsibilities will include architecting end-to-end AI and Generative AI solutions on GCP, establishing enterprise architecture standards for security, governance, and scalability.

You will architect advanced Agentic AI solutions utilizing LLMs, RAG, vector databases, and orchestration frameworks. The role also involves conducting technical workshops, translating business requirements into scalable AI solutions, and providing architectural guidance to development and DevOps teams. Ensuring adherence to security, responsible AI, and data governance standards is crucial, along with leading Proofs of Concept (PoCs), Minimum Viable Products (MVPs), and production implementations.

This position requires a minimum of 10 years of IT experience, with at least 4 years focused on Cloud Solution Architecture and over 3 years in AI/ML and Generative AI solutions.

Mandatory hands-on experience with Google Cloud Platform (GCP) AI services is essential. Key technologies include Vertex AI, Gemini Models, BigQuery, Cloud Run, GKE, Cloud Functions, Pub/Sub, API Gateway, and IAM & Security Controls. Proficiency in RAG Architecture, Vector Databases (such as Pinecone, Weaviate, Vertex AI Vector Search), LangChain, LangGraph, and Multi-Agent Architecture Design is also required.