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Niche Agentic AI/GCP skillset reduces applicant density despite Capgemini's brand.
Requires specialized Agentic AI and Vertex AI expertise, limiting easy cross-industry transfers.
Multiple mandatory GCP, Vertex AI, LLM, vector DB and architecture requirements enforce strict filtering.
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Design and architect end-to-end AI and Generative AI solutions on Google Cloud Platform leveraging LLMs, RAG architecture, vector databases, and orchestration frameworks.
Define and enforce enterprise architecture standards including security, governance, and scalability for AI implementations.
Lead PoCs, MVP developments, production rollouts, and conduct technical workshops and discovery sessions with business and technical teams.
Proficiency with Google Cloud Platform services including Vertex AI, BigQuery, Cloud Run, GKE, Cloud Functions, Pub/Sub, API Gateway, and IAM.
Experience in designing AI architectures using LLMs, RAG, vector databases (Pinecone, Weaviate, Vertex AI Vector Search), and multi-agent orchestration.
Work Experience Required: Not explicitly mentioned in the JD.
Strong understanding of security controls, responsible AI compliance, and data governance in AI solutions.
Experienced AI developer with demonstrated ability to architect scalable, secure Agentic AI solutions on GCP environments.
Comfortable leading cross-functional collaboration and translating business requirements into technically feasible AI deployments.
Skilled in both strategic enterprise architecture and hands-on leadership of AI PoCs and production implementations.