We’re on hunt for AI Architect
Responsibilities
- 10–15+ years overall experience, with recent hands-on AI/GenAI architecture ownership.
- Must have architected enterprise AI platforms/solutions end-to-end, not just individual ML models or PoCs.
- Strong GenAI/LLM production experience: RAG, embeddings, vector DBs, hybrid search, reranking, evaluation, guardrails.
- Strong Agentic AI understanding: agents, tool calling, workflows, orchestration, human-in-the-loop.
- Experience taking AI solutions from architecture → production → scale, ideally across multiple business teams/use cases.
- Strong cloud architecture — Azure/AWS preferred; hybrid/on-prem experience is a plus.
- Must understand enterprise security, governance, Responsible AI, observability and LLMOps/MLOps.
- Should be able to articulate build-vs-buy, MVP-vs-target architecture, cost/performance/security tradeoffs.
- Strong stakeholder-facing / consulting ability — can work with business leaders, engineering, security and data teams and influence without authority.
There is scope to move to the US for this role if you are aligned for the same, else this will be a WFO role from Hyderabad location
Skills:- Artificial Intelligence (AI), Generative AI (GenAI), Retrieval Augmented Generation (RAG) and Large Language Models (LLM)