14 days ago
Hyderābād, IndiaSenior
Responsibilities
- Own and evolve the enterprise reference architecture for generative and agentic AI across models, retrieval, orchestration, reasoning, and governance.
- Build hands-on prototypes, working proofs, demonstrations, reusable frameworks, blueprints, and paved-road patterns for engineering and product teams.
- Lead AI solutioning from proof of concept to production, including experiments, roadmaps, and scale-up planning.
- Establish shared AI platform and enablement capabilities for model serving, vector and graph retrieval, tool and agent orchestration, observability, and evaluation.
- Embed traceability, human-in-the-loop controls, evaluation, and tenant isolation into AI architectures.
- Own build-versus-buy decisions, set technical standards, run architecture reviews, and mentor engineers.
- Communicate technical trade-offs to leadership, clients, and engineering teams.
Requirements
- 8+ years of experience in software or AI engineering.
- Production-proven delivery of agentic, generative, and classical ML/DL systems beyond proof-of-concept work.
- Hands-on experience with orchestration frameworks such as LangGraph and Dapr Agents, MCP, A2A, RAG, GraphRAG, Neo4j, pgvector, vLLM, and LLMOps.
- Practical experience with model evaluation and guardrails, including making model quality measurable and defensible.
- Command of classical ML/DL, generative AI, and agentic AI, with judgment to select the simplest effective approach.
- Depth with AWS, Azure, or Databricks and familiarity with semantic layers and lakehouse architectures.
- Experience owning end-to-end architecture and setting and evolving standards across an organization.
- Excellent communication and stakeholder-management skills, including engagement with senior leadership, plus a track record of mentoring.
- Preferred: life sciences, pharma, or healthcare experience and compliance-aware AI architecture involving GxP, GAMP 5, 21 CFR Part 11, ALCOA+, the EU AI Act, or HIPAA.
- Preferred: knowledge graphs, semantic layers, ontologies, multi-tenant SaaS or customer-deployed system design, and public contributions on generative or agentic AI architecture.
Benefits
- The role is based in Hyderabad or Bangalore.