Lead Intelligent Solutions Engineer

Lead Intelligent Solutions Engineer at Sarah Cannon Research Institute, a subsidiary of McKesson, to deliver AI and intelligent automation solutions end-to-end. Design, build, and scale LLM- and agent-based automations, and own solution architecture, technical quality, delivery outcomes, and enterprise standards. Evangelize AI and intelligent automation capabilities across the organization and translate opportunities and problems into tangible, trusted, production-ready AI solutions.

Requirements

• Bachelor’s Degree required, Master’s Degree preferred
• Advanced knowledge of generative AI, machine learning, NLP, agentic frameworks, and AI solution architectures
• Strong understanding of AI governance, MLOps, and enterprise risk management
• Healthcare, life sciences, or clinical research technology domain knowledge
• Proven experience delivering complex, production-grade AI and automation solutions as a hands-on builder
• Deep proficiency in prompt engineering and applying Generative AI to enterprise workflows
• Strong programming skills (typically Python and/or JavaScript) with experience in APIs, data transformation, version control, and deployment practices

Benefits

• Comprehensive benefits to support physical, mental, and financial well-being
• Competitive compensation package
• Annual bonus or long-term incentive opportunities may be offered