Lead AI engineer(agentic system,pharma domain)

Roles & Responsibilities

• Design and implement complex components of agentic pipelines — multi-agent graphs, tool orchestration layers, retrieval modules, and memory systems — using LangGraph, AutoGen, CrewAI, or equivalent
• Take ownership of full sub-system designs: define agent topology, data flows, API contracts, and failure handling for a bounded scope
• Build and optimise production RAG pipelines: document ingestion, chunking strategy, embedding selection, hybrid search, retrieval evaluation, and latency tuning
• Integrate agentic systems with pharma data platforms (IQVIA, Symphony, Komodo, Veeva) via REST, event-driven hooks, and batch pipeline patterns
• Own observability for components: instrument trace logging, cost metrics, drift alerts, and evaluation harnesses using LangSmith, Helicone, or equivalent
• Lead CI/CD for owned modules: containerisation (Docker/Kubernetes), automated test suites, staging gate criteria, and rollback procedures
• Translate medical affairs, commercial analytics, and clinical ops requirements into agent component specifications
• Apply 21 CFR Part 11 auditability, HIPAA-compatible data handling, and GxP traceability patterns to every component
• Build intelligent document processing pipelines for pharma content: drug labels, clinical study reports, HEOR dossiers, and regulatory submissions
• Contribute to KOL mapping, competitive intelligence, and signal detection agents with domain-aware retrieval and reasoning strategies
• Serve as the day-to-day technical reference for AI Engineers on the pod: code review, design feedback, unblocking implementation issues
• Lead component-level design reviews and surface architecture risks before they reach staging
• Pair with junior engineers on hard problems and document patterns and decisions in the team's shared knowledge base
• Represent engineering quality in client-facing technical discussions and translate complex trade-offs into plain language
• Contribute reference implementations and guardrail templates to the firm's internal agentic AI playbook

Interested candidate send resume to ssri44819@gmail.com

Pay: ₹2,200,000.00 - ₹3,600,000.00 per year

Work Location: In person