Remote Senior AI Solutions Architect for Automation

McKesson’s Corporate; Town of Texas (WI); Hybrid; USD 150,000 - 210,000; 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 solutions end-to-end. You will own architecture, ensure quality, and deliver value across enterprise workflows using LLMs, agents, and orchestration frameworks.

This senior role requires deep technical skill, strong architectural judgment, and the ability to drive ambitious initiatives in a fully remote US-based setting.

Qualifications

• Bachelor's degree required; Master's preferred.
• 7+ years of experience in machine learning.

Responsibilities

• Design, build, and maintain AI prompts, LLM agents, copilots, and end-to-end intelligent workflows.
• Lead prototyping and scale pilots into production-grade solutions.
• Own the day-to-day health of deployed AI/automation systems: monitoring, debugging, and performance tuning.
• Build integrations with enterprise platforms via APIs and data pipelines.
• Define end-to-end solution architectures and delivery plans with measurable value.

Skills

AI solutions

Prompt engineering

LLM agents

Python/JavaScript

Enterprise integration

Architectural leadership

Education

Bachelor's Degree

Master's Degree

Tools

Azure AI

APIs

Data pipelines

Version control

Job description

Sarah Cannon Research Institute (SCRI), a McKesson subsidiary, seeks a Lead Intelligent Solutions Engineer to design, build, and deploy AI and automation solutions end-to-end. You will own architecture, ensure quality, and deliver value across enterprise workflows using LLMs, agents, and orchestration frameworks.

This senior role requires deep technical skill, strong architectural judgment, and the ability to drive ambitious initiatives in a fully remote US-based setting.