Lead AI Solutions Engineer: Prototyping to Production

McKesson; Mississauga; Hybrid; CAD 140,000 - 190,000; Full time

Job summary

The US Oncology Network is seeking a Lead AI Solutions Engineer (Forward Deployed Engineering) to drive the identification, design, prototyping, and validation of AI-enabled solutions that address complex business and operational challenges across the organization.

This senior role sits at the intersection of software engineering, AI solutioning, business consulting, and innovation, partnering with leaders and technical teams to move validated solutions toward production delivery.

Qualifications

• 10+ years in software engineering, solution engineering, architecture, or technical consulting.
• Hands-on experience with React, Node.js, TypeScript, Python, APIs, and cloud platforms.
• Experience delivering AI-powered solutions and leading complex initiatives.
• Ability to translate ambiguous business problems into working technical solutions; strong stakeholder engagement.

Responsibilities

• Partner with business and operational leaders to understand challenges and identify opportunities.
• Lead discovery sessions and translate business needs into technology solutions.
• Design and build AI-enabled prototypes, proof of concepts, and pilot solutions.
• Apply technologies such as AI copilots, agents, RAG, intelligent search, and workflow automation.
• Evaluate solution options and recommend scalable architectures.
• Collaborate with engineering, data, security, and architecture teams to move validated solutions into production.
• Mentor engineers and contribute best practices for AI solution delivery.

Skills

React

Node.js

TypeScript

Python

APIs

Cloud platforms

Tools

Azure AI

Databricks

Snowflake

Power BI

Salesforce

ServiceNow

Job description

The US Oncology Network is seeking a Lead AI Solutions Engineer (Forward Deployed Engineering) to drive the identification, design, prototyping, and validation of AI-enabled solutions that address complex business and operational challenges across the organization.

This senior role sits at the intersection of software engineering, AI solutioning, business consulting, and innovation, partnering with leaders and technical teams to move validated solutions toward production delivery.