Cincinnati, OH30+ days ago
p>• Evaluate emerging AI technologies (agents, workflows, RAG architectures, tool-augmented LLMs) against business requirements and enterprise constraints • Build rapid prototypes that demonstrate feasibility and business value to stakeholders • Document findings thoroughly, both successes and failures, to inform enterprise AI strategy • Partner with Enterprise Architecture to ensure prototypes align with API-first principles and can transition to production systems • Enable business-side data science capabilities: self-service analytics sandboxes, Python environments, and dashboards that dont require IT intervention • Implement and evaluate agent frameworks, Model Context Protocol (MCP) integrations, and AI orchestration patterns • Communicate complex technical concepts to business stakeholders and executives • Mentor team members and contribute to a culture of continuous learning. Please provide:
• Resume highlighting relevant AI/ML project experience and outcomes achieved • Examples of prototypes, proofs-of-concept, or projects youve built (GitHub, portfolio, or descriptions) • Brief description of a technology you evaluated that didnt work out, and what you learned • References who can speak to your technical capabilities and collaboration style.