Architect _ AI

Role overview

Architect _ AI at Excelra Knowledge Solutions

Required qualifications

• 8+ Years

Employment details

• Location : Hyderabad/Bangalore THE ROLE Shape the architecture behind AI at Excelra.
• We're hiring two AI Architects to shape the architecture behind AI at Excelra and turn it into production systems across the company.
• Reporting to the Head of AI, you'll own our reference architecture for AI in life sciences, drive AI enablement across teams, and set the standards others build on.
• This is a hands-on-keyboard, decision-making role for someone who builds, prototypes, and demonstrates — who has deployed agentic, generative, and classical AI in production, and keeps learning as the field moves.
• You know what survives contact with real users and real audits.
• WHAT YOU'LL DO Own the architecture, and make it easy to build on.
• Own and evolve our enterprise reference architecture for generative and agentic AI — across models, retrieval, orchestration, reasoning, and the governance that runs through all of it.
• Build and demonstrate, hands-on.
• Prototype in code, stand up working proofs and demos, and stay close to the models and tools — leading by showing, and learning continuously as the field moves.
• Build reusable frameworks, blueprints, and paved-road patterns that engineering and product teams adopt.
• Lead solutioning from proof-of-concept to production: scope experiments, prove them, and build the roadmap to scale.
• Stand up the shared AI platform and enablement — model serving, vector and graph retrieval, tool and agent orchestration, observability, and evaluation — and help teams build on it safely.
• Embed governance by design: traceability, human-in-the-loop, evaluation, and tenant isolation built into every architecture from the start.
• Own build-vs-buy decisions and set technical standards; run architecture reviews and mentor engineers.
• Translate technical trade-offs clearly for leadership, clients, and engineering.
• WHAT YOU'LL BRING Production-proven, end to end.
• Deeply hands-on — you still build. 8+ years in software / AI engineering, with production-proven delivery of agentic, generative, and classical ML/DL systems — not just POCs.
• Hands-on depth across the modern agentic stack: orchestration frameworks (e.g. LangGraph, Dapr Agents), protocols (MCP; familiarity with A2A), RAG and GraphRAG, vector and graph databases (e.g. Neo4j, pgvector), model serving (e.g. vLLM), and LLMOps (versioning, drift, cost, evaluation).
• Practical evaluation and guardrails experience — making model quality measurable and defensible.
• Command of the full span from classical ML/DL to generative to agentic, and the judgment to choose the simplest approach that works.
• Cloud and data-platform depth (AWS / Azure / Databricks) and familiarity with semantic layers and lakehouse architectures.
• End-to-end architecture ownership and the ability to set and evolve standards across an organisation.
• Excellent communication and stakeholder management, including with senior leadership, and a track record of mentoring.
• NICE TO HAVE Regulated-industry experience — life sciences, pharma, or healthcare — and compliance-aware AI architecture (GxP, GAMP 5, 21 CFR Part 11, ALCOA+ data integrity, EU AI Act / HIPAA awareness).
• Knowledge graphs, semantic layers, and ontologies as first-class design elements.
• Multi-tenant SaaS or customer-deployed system design.
• Public contributions — talks, writing, or open source — on generative / agentic AI architecture.
• Location: Uppal [Hyderabad] [Telangana] [India]