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.
Solid 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.
Solid 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.
Robust 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)

📌 Ai Architect Secunderabad
🏢 Cutshort
📍 Secunderabad