Azure AI / Agentic AI Architect

JPC TECHNO INC; Los Angeles (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

JPC TECHNO INC is seeking an Azure AI Architect to design, build, and scale enterprise AI platforms on Azure. Focus on GenAI, multi-agent systems, intelligent automation, and governed GenAI solutions. Lead PoCs, architecture design, and collaborate with product and engineering teams to deliver scalable AI capabilities.

The role emphasizes Azure OpenAI, Azure AI Services, and modern data pipelines to enable enterprise-grade AI at scale.

Qualifications

• GenAI/LLMs, RAG, Prompt Engineering expertise.
• LangGraph, LangSmith, LangChain, Semantic Kernel familiarity.
• Python, REST APIs, APIs, and microservices experience.
• Vector databases, embeddings, and semantic search know-how.
• Cloud-native architecture and enterprise system integration experience.

Responsibilities

• Design and implement Azure-based Agentic AI and multi-agent solutions using Azure OpenAI and orchestration frameworks.
• Build RAG applications, copilots, virtual assistants, and intelligent automation using Azure AI Search.
• Architect AI platforms using Azure AI Foundry, Agent Services, APIs, and modern data pipelines.
• Implement agent workflows including reasoning, tool/calling, memory, and agent-to-agent communication.
• Ensure Responsible AI, security, governance, observability, MLOps, and enterprise guardrails.
• Lead AI PoCs, architecture design, documentation, and cross-team collaboration.

Skills

GenAI/LLMs

RAG

Prompt engineering

LangGraph

LangSmith

LangChain

Semantic Kernel

Python

REST APIs

APIs

Microservices

Vector databases

Embeddings

Semantic search

Cloud-native architecture

Enterprise integration

Tools

Azure OpenAI

Azure AI Services

Job description

We are seeking a highly skilled **Azure AI / Agentic AI Architect** to design, build, and scale enterprise-grade AI platforms using Azure AI Services, with a focus on **Generative AI, multi-agent architectures, intelligent automation, and governed AI solutions**.

Must-Have Skills

• **GenAI/LLMs, RAG, Prompt Engineering**
• **LangGraph, LangSmith, LangChain, Semantic Kernel**
• **Python, REST APIs, APIs, Microservices**
• Vector databases, Embeddings, Semantic Search
• Cloud-native architecture and enterprise system integration

Key Responsibilities

• Design and implement **Azure-based Agentic AI and multi-agent solutions** using Azure OpenAI, Azure AI Services, and orchestration frameworks.
• Build **RAG applications, copilots, virtual assistants, and intelligent automation** using Azure AI Search and Generative AI.
• Architect AI platforms using **Azure AI Foundry, Agent Services, APIs, and modern data pipelines**.
• Implement agent workflows including **reasoning, tool/function calling, memory, and agent-to-agent communication**.
• Ensure **Responsible AI, security, governance, observability, LLMOps/MLOps, and enterprise guardrails**.
• Lead AI PoCs, architecture design, technical documentation, and collaboration with product, engineering, and business teams.

Good-to-Have

• **Primary Focus:** Enterprise-grade **multi-agent AI systems, copilots, RAG applications, AI automation platforms, and governed GenAI solutions on Azure**.