Senior Agentic AI Architect – Azure GenAI Expert

JPC TECHNO INC; Los Angeles (CA); On-site; USD 180,000 - 320,000; Full time

Job summary

JPC TECHNO INC is seeking an experienced Lead AI Architect to design enterprise-grade Agentic AI solutions on the Azure stack. You will orchestrate multi-agent workflows, leverage LangGraph, LangChain, LangSmith, and Semantic Kernel to build scalable GenAI platforms onsite in Los Angeles.

You will implement LLMOps, governance, security, and guardrails, collaborating with data science and engineering teams to drive cost optimization and compliance in regulated environments.

Qualifications

• GenAI, LLMs, RAG, and Prompt Engineering expertise required.
• Experience with multi-agent systems and LangGraph/LangChain/LangSmith/ Semantic Kernel.
• Strong Python and modern AI/ML frameworks knowledge.
• Proficiency with vector databases, embeddings, and semantic search.
• Expertise in AI architecture, security, governance, and Responsible AI.

Responsibilities

• Design and implement enterprise Agentic AI solutions on Azure stack.
• Architect orchestrations for multi-agent workflows including tool calls and memory.
• Develop GenAI, RAG, NLP and ML solutions with scalable data architectures.
• Build copilots, virtual assistants, and analytics platforms with cost optimization.
• Lead POCs, document architectures, and collaborate with business and engineering teams.

Skills

GenAI

LLMs

RAG

Prompt Engineering

LangGraph

LangChain

LangSmith

Semantic Kernel

Python

AI/ML frameworks

Vector Databases

Embeddings

Semantic Search

AI Architecture

Security

Governance

Responsible AI

Tools

Azure OpenAI

Azure AI Services

Azure AI Foundry

Agent Services

LangGraph

LangChain

LangSmith

Semantic Kernel

Azure Monitor

Job description

JPC TECHNO INC is seeking an experienced Lead AI Architect to design enterprise-grade Agentic AI solutions on the Azure stack. You will orchestrate multi-agent workflows, leverage LangGraph, LangChain, LangSmith, and Semantic Kernel to build scalable GenAI platforms onsite in Los Angeles.

You will implement LLMOps, governance, security, and guardrails, collaborating with data science and engineering teams to drive cost optimization and compliance in regulated environments.