At a Glance
- Tasks: Drive AI solutions to tackle complex challenges and innovate across the organization.
- Company: Join the US Oncology Network, a leader in healthcare innovation.
- Benefits: Flexible work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and a focus on responsible AI.
- Why this job: Make a real impact in healthcare by developing cutting-edge AI solutions.
- Qualifications: 10+ years in software engineering with strong skills in AI and cloud technologies.
The predicted salary is between 135000 - 165000 $ per year.
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 role sits at the intersection of software engineering, AI solutioning, business consulting, and innovation.
The Lead AI Solutions Engineer partners directly with business leaders, operational stakeholders, clinicians, and technical teams to understand problems, shape opportunities, rapidly validate solutions through prototypes, and establish a clear path to production delivery.
As a senior technical leader, this role provides end-to-end ownership of the early solution lifecycle, influences enterprise AI adoption, drives technical direction across initiatives, and ensures validated solutions can be successfully industrialized through collaboration with engineering, architecture, security, compliance, and data teams.
What You'll Do 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.
What You'll Bring 10+ years of experience in software engineering, solution engineering, architecture, or technical consulting.
Strong hands-on experience with React, Node. js, Type Script, Python, APIs, and cloud platforms.
Experience building enterprise applications and integrating complex systems.
Practical experience delivering AI-powered solutions, including copilots, agents, RAG, automation, or intelligent search.
Ability to translate ambiguous business problems into working technical solutions.
Strong stakeholder engagement and communication skills.
Experience influencing cross-functional teams and leading complex initiatives.
Preferred Healthcare, oncology, or clinical operations experience.
Experience with Azure AI, Databricks, Snowflake, Power BI, Salesforce, or Service Now.
Experience working in regulated environments and applying Responsible AI principles.
Working Conditions Flex & Connect work model with a requirement to be in the office two (2) days per week.
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Lead AI Solutions Engineer in Mississauga employer: McKesson
McKesson is an exceptional employer that prioritizes employee growth and development, offering a dynamic work culture where innovation thrives. As a leader in the healthcare sector, we provide our team with meaningful opportunities to impact data governance while ensuring compliance and quality. Located in a collaborative environment, employees benefit from comprehensive support and resources to excel in their roles and contribute to our mission of improving health outcomes.
