Senior AI Solutions Architect & Automation Engineer

McKesson; Texas, United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Sarah Cannon Research Institute (SCRI), a McKesson subsidiary, seeks a Lead Intelligent Solutions Engineer to design, build, and deploy AI and automation at scale. You will own end-to-end solution architectures, drive pilots to production, and integrate with enterprise systems while ensuring governance and security.

This remote US role requires deep technical expertise, senior leadership, and a proven track record delivering enterprise AI solutions.

Qualifications

• Bachelor's Degree required; Master's preferred.
• At least 7 years of ML experience.
• Healthcare, life sciences, or clinical research domain experience preferred.
• Experience delivering solutions in regulated environments.

Responsibilities

• Design, build, and maintain AI and automation solutions end-to-end.
• Lead end-to-end AI solution architecture and delivery ownership.
• Define standard patterns for agent architectures and data flow.
• Translate business problems into production-grade AI solutions.

Skills

Hands-on AI development

Prompt engineering

Python/JavaScript

Agentic AI solutions

LLM orchestration

API integration

Enterprise governance

Stakeholder influence

Education

Bachelor's Degree

Master's Degree (preferred)

Tools

Copilot Studio

Power Platform

Azure AI / Azure OpenAI

Job description

Sarah Cannon Research Institute (SCRI), a McKesson subsidiary, seeks a Lead Intelligent Solutions Engineer to design, build, and deploy AI and automation at scale. You will own end-to-end solution architectures, drive pilots to production, and integrate with enterprise systems while ensuring governance and security.

This remote US role requires deep technical expertise, senior leadership, and a proven track record delivering enterprise AI solutions.