Remote Lead AI Solutions Engineer

McKesson Corporation; Town of Texas (WI); Remote; USD 150,000 - 200,000; Full time

Job summary

Sarah Cannon Research Institute, a McKesson subsidiary, seeks a Lead Intelligent Solutions Engineer. You will architect and deliver AI-driven automation solutions, including LLM agents, flows, and integrations across SCRI systems.

Responsibilities include end-to-end delivery, governance, and mentoring teams. This remote US-based role emphasizes production-ready AI with measurable productivity gains and quality improvements.

Qualifications

• Bachelor's degree required; Master's preferred.
• 7+ years of experience in machine learning.
• Experience delivering complex AI/automation solutions in enterprise environments.

Responsibilities

• Design, build, and maintain AI prompts, agents, copilots, and end-to-end intelligent workflows.
• Prototype rapidly; scale pilots into production-grade solutions.
• Own delivery health: monitoring, troubleshooting, reliability improvements.

Skills

ML experience

AI governance

Enterprise integrations

Python/JavaScript

stakeholder influence

Education

Bachelor's degree

Master's degree (preferred)

Tools

Microsoft AI tools

Job description

Sarah Cannon Research Institute, a McKesson subsidiary, seeks a Lead Intelligent Solutions Engineer. You will architect and deliver AI-driven automation solutions, including LLM agents, flows, and integrations across SCRI systems.

Responsibilities include end-to-end delivery, governance, and mentoring teams. This remote US-based role emphasizes production-ready AI with measurable productivity gains and quality improvements.