Capgemini
We are seeking a Director level executive for Lead AI Architect with proven expertise in Large Language Models (LLMs), Agentic AI, LangChain, LangGraph, embeddings, vector databases, and semantic search.
Role: AI Solution Architect
Role Focus: • Lead the end-to-end AI product lifecycle • Ensure all AI solutions are aligned with business KPIs, adoption metrics, and ROI goals • Collaborate with product, business, and architecture teams • Architect scalable enterprise AI applications • Apply integration design patterns • Ensure security, compliance, and resilience • Design and implement LLM-powered applications • Use LangChain design patterns • Apply LangGraph design patterns • Implement agentic AI architectures • Build and optimize embedding pipelines • Architect semantic search and RAG pipelines • Deploy AI workloads on Azure AI or Google Cloud AI • Lead MLOps practices • Be a hands-on leader
Azure AI, GCP AI, Kubernetes, FAISS, Pinecone, Weaviate, Milvus
Recommended resources to build the skills for this position. Sponsored.
Python for Everybody Specialization
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Learn Python from scratch — variables, data structures, web scraping, and databases.
Python 3 Programming Specialization
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Intermediate Python covering classes, inheritance, APIs, and data processing.
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Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.
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