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Tata Consultancy Services in Paris is hiring an AI Tech Lead to design and productionize Generative AI solutions with a strong focus on RAG, fine-tuning, and orchestration in a cloud environment.
You will build end-to-end GenAI applications, optimize pipelines, implement agentic workflows, and productionize with MLOps practices, working across AWS/Azure/GCP and enterprise security standards.
Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. As part of the Tata group, India's largest multinational business group - TCS has over 614,000 of the world’s best-trained consultants in 55 countries.
TCS France is serving over 80 customers (reputed brands and part of CAC40) in France for over 28 years with 1,500 employees with investments spanning across regions in an innovation center and multiple delivery centers. TCS France has delivered double-digit growth for over 5 years supporting customers in digital transformation, Data and cloud journeys.
We’re hiring an AI Tech leadto design and productionize Generative AI solutions (assistants, Q&A, workflow automation) with a strong focus on RAG, fine-tuning, agentic systems, and orchestration in a cloud environment (AWS / Azure / GCP).
Build end-to-end GenAI applications (APIs/services, enterprise integration)
Design and optimize RAG pipelines (ingestion, chunking, embeddings, vector indexing, retrieval, reranking, grounding)
Implement agentic workflows (tool-calling, multi-step reasoning/execution) and orchestration (LangChain/LlamaIndex or equivalents)
Apply fine-tuning/adaptation when relevant (e.g., PEFT/LoRA), and define evaluation strategies
Productionize with LLMOps/MLOps: CI/CD, observability, monitoring, evaluation (quality, latency, cost), governance/guardrails
Experience in AI/software engineering (strong Python)
Hands-on experience delivering GenAI/RAG solutions in production
Experience with one cloud provider: AWS, Azure, or GCP (e.g., Bedrock / Azure OpenAI / Vertex AI)
Familiarity with vector databases/search and retrieval strategies
Solid engineering practices: Git, testing, Docker (Kubernetes is a plus)
PyTorch / deep learning background, strong Data Science foundations
Experience with RAG/agent evaluation, hallucination mitigation, prompt & data security
Knowledge of enterprise security/compliance (IAM, encryption, auditing).
At TCS, diversity is a source of wealth, and inclusion is a daily commitment. We cultivate an environment where every talent, regardless of their origin or background, can express themselves and grow, and fully contribute to our collective success.