Salary - 10 to 99 LPA About The Role Were hiring an Enterprise AI Deployment Engineer to design, build, and operationalize AI-powered workflows for professional-services and regulated-enterprise clients. This isnt a chatbot or prompt-engineering role youll be turning messy, real-world enterprise data and ambiguous business requirements into governed, production-ready AI systems that survive client scrutiny. Youll work across document intelligence, RAG pipelines, agentic workflows, and enterprise integrations collaborating directly with domain experts, technical teams, and governance stakeholders.

What Youll Do

Design and build AI-enabled workflows for qualified-services and enterprise use cases (legal, tax, consulting, compliance, due diligence, knowledge management)

Build extraction, classification, summarization, and retrieval pipelines from messy documents (PDFs, scans, contracts, reports)

Develop agentic workflows involving tool use, multi-step reasoning, confidence thresholds, and human-in-the-loop review

Integrate AI systems into enterprise environments (Microsoft 365, SharePoint, Teams, databases, APIs)

Build evaluation harnesses,



audit trails, and quality controls for AI outputs

Communicate clearly with both technical and non-technical stakeholders; challenge poorly framed requirements What Were Looking For Strong Python engineering skills with a track record of shipping production code (not just notebooks/demos)

Hands-on experience with LLM applications, RAG, embeddings/vector search, or document intelligence pipelines

Experience deploying AI into enterprise, client-controlled, or regulated environments

Comfort working with domain experts to convert ambiguous workflows into buildable systems

Working knowledge of SQL, APIs, Git, CI/CD, and deployment hygiene

Nice to have : exposure to legal, tax, consulting, compliance, or other regulated industries; Microsoft/Azure stack; private/on-prem LLM deployment What This Role Is Not Not a prompt-engineering-only or chatbot-only role

Not a pure research or data-science role

Not suitable for candidates who can demo but cant productionize (ref:hirist.tech)

📌 Enterprise AI Deployment Engineer (Chennai)
🏢 Prevaj
📍 Chennai