Lead GenAI Platform Architect & Agentic AI Leader

DR Decisions Resources LLC; Ann Arbor (MI); On-site; USD 180,000 - 240,000; Full time

Job summary

DR Decisions Resources LLC is seeking a Lead Product Development Engineer for GenAI and agentic AI to define and deliver next-generation platforms that power enterprise products. You will own architecture for GenAI/MCP systems, mentor senior engineers, and ensure scalable, secure, cost-efficient deployment across product lines.

This role emphasizes hands-on leadership and cutting-edge AI frameworks to drive measurable business impact.

Qualifications

• 7 years of experience in software engineering and AI/ML with production GenAI deployments.
• Proven leadership building and scaling enterprise GenAI solutions.
• Expert in Python, distributed systems, APIs, and microservices.
• Hands-on with LLMs and agent frameworks (LangChain, AutoGen, CrewAI, LlamaIndex, etc.).
• Deep knowledge of RAG architectures, embeddings, vector databases (FAISS, Pinecone, Milvus, Weaviate), and retrieval techniques.

Responsibilities

• Define and drive the technical vision for GenAI, agentic AI, and MCP-based capabilities across multiple product lines.
• Lead prompt engineering, memory management, and MCP-based context orchestration for scalable AI systems.
• Design and optimize RAG, enterprise knowledge and MCP-backed context platforms, including secure data ingestion and governance.
• Guide the integration of GenAI and agentic AI features into core products, APIs and enterprise platforms.
• Drive production readiness covering reliability, observability, performance, and responsible / safe agent behaviour.

Skills

Python

Distributed systems

APIs

Microservices

LLMs

Agent frameworks

RAG architectures

Embeddings

Retrieval techniques

Tools

LangChain

AutoGen

CrewAI

LlamaIndex

FAISS

Pinecone

Milvus

Weaviate

Job description

DR Decisions Resources LLC is seeking a Lead Product Development Engineer for GenAI and agentic AI to define and deliver next-generation platforms that power enterprise products. You will own architecture for GenAI/MCP systems, mentor senior engineers, and ensure scalable, secure, cost-efficient deployment across product lines.

This role emphasizes hands-on leadership and cutting-edge AI frameworks to drive measurable business impact.