Job Description
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.
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- 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.
Skills:- Artificial Intelligence (AI), Generative AI (GenAI), Retrieval Augmented Generation (RAG) and Large Language Models (LLM)
Skills
Artificial IntelligenceLarge Language ModelsAiMlLlmGenerative AiGenaiRagRetrieval Augmented GenerationEmbeddingsTool CallingGuardrailsAgenticAgentic AiMlopsLlmopsIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
Important dates & deadlines?
Application Deadline
13 Nov 26, 03:29 PM IST
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