Job description

Our Client, an IT Services and Consultant company, is looking for an AI / GenAI Architect / Sr. Lead (Contract) for their Dayton¸ OH/Remote location. Responsibilities: • Assess business processes, systems, and data landscapes to identify high-impact GenAI opportunities. • Design and own end-to-end AI solution architecture, including LLM selection, agent design, RAG frameworks, integrations, security, governance, and evaluation methodologies. • Lead hands-on implementation efforts and establish engineering and prompt-engineering best practices. • Collaborate with business, IT, security, and engineering teams to align objectives and manage delivery risks. • Drive successful deployment, adoption, and measurement of business outcomes through AI solutions. Requirements: • Strong experience architecting and implementing Agentic AI systems using LLMs, LangGraph, MCP, and RAG. • Expertise in Python, data ingestion/retrieval, vector databases, and AI application development. • Hands-on experience with Azure AI Foundry, Azure AI Services, or similar AI platforms. • Deep understanding of observability, governance, reliability, workflow orchestration, and context/memory engineering. • Healthcare industry experience is highly preferred. Why Should You Apply? • Health Benefits • Referral Program • Excellent growth and advancement opportunities

Requirements

Must-haves

Our Client, an IT Services and Consultant company, is looking for an AI / GenAI Architect / Sr. Lead (Contract) for their Dayton¸ OH/Remote location.
Assess business processes, systems, and data landscapes to identify high-impact GenAI opportunities.
Design and own end-to-end AI solution architecture, including LLM selection, agent design, RAG frameworks, integrations, security, governance, and evaluation methodologies.
Lead hands-on implementation efforts and establish engineering and prompt-engineering best practices.
Collaborate with business, IT, security, and engineering teams to align objectives and manage delivery risks.
Drive successful deployment, adoption, and measurement of business outcomes through AI solutions.
Strong experience architecting and implementing Agentic AI systems using LLMs, LangGraph, MCP, and RAG.
Expertise in Python, data ingestion/retrieval, vector databases, and AI application development.
Hands-on experience with Azure AI Foundry, Azure AI Services, or similar AI platforms.
Deep understanding of observability, governance, reliability, workflow orchestration, and context/memory engineering.
Why Should You Apply?
Referral Program
Excellent growth and advancement opportunities

Nice-to-haves

Healthcare industry experience is highly preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmpythonazure

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Effort: medium