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.
Solid knowledge of APIs, microservices, event-driven architecture, RBAC, SSO, and audit logging.
Familiarity with LangSmith, Langfuse, Ragas, or Arize.

📌 Ai Architect Generative Ai Indore
🏢 Jero Technologies
📍 Indore