Generative AI Architect - LLM/RAG/LangChain

About the Opportunity :

We are hiring a GenAI Enterprise Architect for a leading global analytics and AI consulting organization. This is a senior leadership mandate (AVP grade) where you own the enterprise Generative AI strategy end to end, from architecture to production.

Key Responsibilities :

- Architect end-to-end Generative AI systems RAG pipelines, agentic workflows, and vector data systems built for enterprise scale.

- Evaluate and select commercial and open-source LLMs; fine-tune models for domain-specific use cases.

- Establish LLMOps standards model versioning, evaluation, prompt management, and CI/CD for production-grade AI.

- Integrate AI solutions with enterprise APIs, applications, and databases, enforcing security, privacy, and guardrails against hallucinations and adversarial attacks.

- Partner with senior stakeholders to map business problems to AI solutions and set up AI governance frameworks.

What Makes You a Fit :

- 815 years across software engineering, ML, or AI, with enterprise-scale systems exposure.

- Deep hands-on strength in Python, PyTorch/TensorFlow, NLP, and frameworks like LangChain, Autogen, or CrewAI.

- Extensive cloud AI experience on AWS, Azure, or GCP.

- Working depth in vector databases (Pinecone, Milvus, Chroma) and embedding techniques.

- Proven expertise in prompt engineering, RAG architectures, and LLM fine-tuning.

- Ability to explain AI to non-technical teams and drive decisions at leadership level.

Education :

- B.E/B.Tech/MCA or M.Tech/MS in Computer Science, AI, Data Science, or related field.

Why This Role :

You set the AI direction for an entire enterprise model strategy, architecture standards, and governance sit with you. High visibility, direct business impact, and a mandate to build, not maintain.