Agentic AI with GCP
Capgemini
Capgemini
Join Capgemini and empower yourself to shape your career path within a global, collaborative community. Help leading organizations harness technology to build a more sustainable and inclusive world. This role focuses on designing and implementing cutting-edge AI and Generative AI solutions on Google Cloud Platform (GCP).
Architect end-to-end AI/GenAI solutions on GCP, defining enterprise architecture, security, and governance standards.
Develop Agentic AI solutions using LLMs, RAG, vector databases, and orchestration frameworks.
Conduct technical workshops and translate business requirements into scalable AI architectures.
Guide development and DevOps teams, ensuring compliance with responsible AI and data governance.
Lead Proofs of Concept (PoCs), Minimum Viable Products (MVPs), and production implementations.
Seeking an experienced GCP AI Solution Architect/Developer with 10+ years of IT experience, including 4+ years in Cloud Solution Architecture and 3+ years in AI/ML and Generative AI.
Must have hands-on experience with GCP AI services such as Vertex AI, Gemini Models, BigQuery, Cloud Run, GKE, Cloud Functions, Pub/Sub, API Gateway, and IAM.
Proficiency in RAG Architecture, Vector Databases (Pinecone, Weaviate, Vertex AI Vector Search), and frameworks like LangChain/LangGraph is essential.
Capgemini
Information Technology & Services