Role: Senior AI / Agentic AI Architect Azure OpenAI + LangChain.

Location: Mt Laurel, NJ (Hybrid).

Duration: Long Term Contract.

Role Summary:

• We are seeking a senior AI / Agentic AI architect with deep expertise in Azure OpenAI GPT, LangChain, LangGraph, and MCP to design, build, and govern intelligent agent systems and QA pipelines. This role partners closely with product, engineering, and QA teams to deliver scalable, secure, and auditable AI solutions aligned with business strategy.

Key Responsibilities:

• Design and implement agentic AI systems using LangChain and LangGraph on Azure OpenAI GPT, including multi step workflows, tool calling, and stateful agents.
• Build and maintain API first architectures (REST/GraphQL) that expose AI capabilities to downstream applications and QA automation suites.
• Develop QA and validation frameworks for AI outputs (accuracy, hallucination checks, guardrails, and safety filters).
• Integrate Azure OpenAI GPT with data sources, vector stores, and monitoring tools to support retrieval augmented generation (RAG) and observability.
• Collaborate with QA and DevOps teams to embed AI driven test generation, test case optimization, and anomaly detection into CI/CD pipelines.
• Partner with executive leadership to translate business objectives into technical AI roadmaps, risk models, and KPIs.
• Drive governance, compliance, and responsible AI practices for agentic systems (logging, audit trails, model versioning, and bias monitoring).

Must Have Skills:

• 15+ years of software engineering / architecture experience, with 5 7+ years in AI / GenAI / Agentic AI.
• Deep hands on experience with Azure OpenAI GPT and LangChain / LangGraph (agents, tools, memory, chains, custom nodes).
• Strong experience with API design and integration (REST, microservices, event driven architectures).
• Experience designing and implementing QA / test automation frameworks for AI driven systems.
• Proven ability to interact with executive leadership, present complex technical concepts clearly, and influence roadmap decisions.
• Ability to travel to Mt Laurel, NJ for in person leadership interviews and key sessions.

Nice to Have:

• Experience with Microsoft MCP (Microsoft Copilot Platform) or Copilot Studio.
• Knowledge of vector databases, embeddings, and RAG patterns.
• Background in regulated industries (finance, healthcare, or enterprise SaaS).