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McKesson

Lead Intelligent Solutions Engineer

McKesson

. Delivering AI and intelligent automation solutions end‑to‑end, from problem framing through production deployment.

Posted 3/31/2026full-timeRemote • Texas • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
AzureJavaScriptPython

About the role

Key responsibilities & impact
  • Delivering AI and intelligent automation solutions end‑to‑end, from problem framing through production deployment.
  • Personally design, build, and scale LLM‑ and agent‑based automations while owning solution architecture and technical quality.
  • Guide the execution of high‑impact, enterprise‑level AI and automation use cases.
  • Ensure all solutions comply with enterprise AI governance standards, ethical AI principles, and corporate policies.
  • Evangelize AI and intelligent automation capabilities across the organization through engagement and stakeholder collaboration.

Requirements

What you’ll need
  • Bachelor's Degree required, Master's Degree preferred.
  • Advanced knowledge of generative AI, machine learning, NLP, agentic frameworks, and AI solution architectures.
  • Strong understanding of AI governance, MLOps, and enterprise risk management.
  • Healthcare, life sciences, or clinical research technology domain knowledge.
  • Proven experience delivering complex, production‑grade AI and automation solutions as a hands‑on builder.
  • Deep proficiency in prompt engineering and applying Generative AI to enterprise workflows.
  • Strong programming skills (typically Python and/or JavaScript) with experience in APIs, data transformation, version control, and deployment practices.
  • Demonstrated experience building agentic AI solutions, including RAG architectures, orchestration frameworks, and tool‑calling patterns.
  • Experience with Microsoft AI ecosystem tools (e.g., Copilot Studio, Power Platform, Azure AI / Azure OpenAI) strongly preferred.
  • Ability to rapidly prototype while maintaining enterprise‑grade security, reliability, and governance.
  • Demonstrated ability to operate as a senior, end‑to‑end AI solution architect while remaining hands‑on.
  • Strong stakeholder influence skills; able to align technical decisions with business outcomes in a matrixed environment.
  • Track record of translating concepts into shipped, adopted, enterprise solutions.

Benefits

Comp & perks
  • Comprehensive benefits to support physical, mental, and financial well-being.
  • Total Rewards package that serves the different needs of diverse colleagues.

ATS Keywords

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Hard Skills & Tools
generative AImachine learningnatural language processingAI solution architectureMLOpsprompt engineeringAPIsdata transformationversion controldeployment practices
Soft Skills
stakeholder influencecollaborationproblem framingtechnical quality ownershiprapid prototypingalignment of technical decisions with business outcomesengagementcommunication
Certifications
Bachelor's DegreeMaster's Degree