AI Architect

Cutshort; Hyderabad; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Cutshort in Hyderabad is seeking an AI Architect with extensive experience to own enterprise AI/GenAI architecture, with potential US relocation.

The role covers RAG, embeddings, vector stores, agents, tool calling, multi-cloud and on-prem, governance, security, and MLOps, working with business leaders and engineering teams.

Qualifications

• 10–15+ years of experience with hands-on AI/GenAI architecture ownership.
• Architect enterprise AI platforms end-to-end, not only models or PoCs.
• Strong GenAI/LLM production experience: RAG, embeddings, vector DBs, search, guardrails.
• Experience with AI agents, tool calling, workflows, orchestration, and human-in-the-loop.
• Exposure to cloud architectures—Azure/AWS; hybrid/on-prem a plus.
• Understanding of enterprise security, governance, Responsible AI, observability, and LLMOps/MLOps.

Responsibilities

• Own AI architecture end-to-end for enterprise platforms.
• Lead GenAI production pipelines and MLOps considerations.
• Collaborate with business leaders, engineering, security, and data teams.
• Evaluate build-vs-buy, MVP-vs-target architecture, cost/performance tradeoffs.
• Guide security, governance, and Responsible AI practices.

Skills

AI Architect

GenAI

RAG

LLM

Job description

Job Description:

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

Skills: - Artificial Intelligence (AI), Generative AI (GenAI), Retrieval Augmented Generation (RAG) and Large Language Models (LLM)