Job highlights

- Expertise in GenAI, LLMs, RAG, vector databases, prompt engineering, and experience with LangChain, LangGraph, Semantic Kernel, AWS Bedrock, SageMaker, Azure OpenAI

- Design AI architecture including LLMs, RAG, multi-agent orchestration; implement AI guardrails; lead architecture reviews; define LLM evaluation and optimization standards; ensure security and governance compliance

Key Responsibilities

- Design AI architecture, including LLMs, RAG, multi-agent orchestration, embeddings, and model routing.

- Architect AI asset discovery connectors for models, datasets, agents, prompts, and endpoints.

- Implement AI guardrails for PII detection, prompt injection, jailbreaks, and content moderation.

- Lead architecture reviews and guide AI/ML, backend, and data engineering teams.

- Define LLM evaluation, observability, performance,



latency, and cost optimization standards.

- Ensure enterprise security, scalability, and alignment with AI governance frameworks.

Required Skills

- Robust programming experience in Python and/or Java.

- Hands-on expertise in GenAI, LLMs, RAG, vector databases, and prompt engineering.

- Experience with LangChain, LangGraph, Semantic Kernel, and familiarity with MCP.

- Experience with AWS Bedrock, SageMaker, Azure OpenAI, or Azure AI Foundry.

- Strong knowledge of APIs, microservices, event-driven architecture, RBAC, SSO, and audit logging.

- Familiarity with LangSmith, Langfuse, Ragas, or Arize.

- 12-25 years

📌 AI Architect - Generative AI (Indore)
🏢 Jero Technologies
📍 Indore