Cincinnati OH
Job Description:
>> Defines end-to-end AI solution architectures across cloud, data, models, and integration layers emphasizing scalability, security, and compliance.
>> Guides technology selection and reference implementations.
>> Designs and develops a modular Agentic AI architecture supporting dynamic agents, tools, and reusable skills.
>> Builds reasoning and orchestration layers leveraging Deterministic logic (rules, workflows, enterprise patterns) and Probabilistic AI (LLMs, embeddings, semantic reasoning).
>> Implements agent orchestration using frameworks such as(Model Context Protocol (MCP FastMCP), Google ADK, LangGraph, LangChain, RAG.
>> Builds reusable agent patterns, orchestration layers, and capability abstractions.
Requirements:
>> 10+ years in SolutionEnterprise Architecture Software Engineering
>> 5+ years of experience as a LeadSenior architect or senior technical lead for large IT projects spanning multiple enterprise systems
>> 2+ years of hands-on AI development and deployment
>> Proven experience delivering production-grade AI products
>> Strong track record in cloud modernization and migration initiative