Forward Deployed Engineer, MT Labs

McKesson is an impact-driven Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights products and services that make quality care more accessible and affordable. Here we focus on the health happiness and well-being of you and those we serve we care.

What you do at McKesson matters. We foster a culture where you can grow make an impact and are empowered to bring new ideas. Together we thrive as we shape the future of health for patients our communities and our people. If you want to be part of tomorrows health today we want to hear from you.

About the Role

McKesson Technology Labs is looking for a Forward Deployed Engineer who combines deep software engineering expertise with curiosity about how work happens in the real world. You will spend time with the McKesson teams you build for uncover high-value problems and turn ambiguous needs into secure production-ready solutions.

This is a hands-on senior engineering role. You will design code test deploy and operate full-stack products that may include user interfaces APIs services data pipelines enterprise integrations and applied AI capabilities. You will also provide technical direction mentor engineers and lead a delivery pod when the work requires it.

You will help determine when McKesson should use an existing product compose available capabilities or build a new solution based on quality risk cost and measurable outcomes.

What Youll Do

• Work directly with McKesson teams to observe workflows identify edge cases and understand where material cost risk and opportunity exist.

• Translate ambiguous business problems into clear technical plans and test the highest-risk assumptions through focused prototypes or minimum viable solutions.

• Design build integrate test deploy and operate full-stack applications APIs services data pipelines and enterprise system integrations.

• Apply AI where it improves outcomes including large language models retrieval-augmented generation tool calling AI agents and evaluation frameworks.

• Build evaluation datasets from representative historical work measure solution quality and identify failure modes before production deployment.

• Engineer security privacy compliance monitoring observability and incident response into solutions from the beginning.

• Own technical direction make sound architecture decisions within enterprise guardrails and use AI coding tools as part of daily engineering work.

• Mentor engineers contribute reusable patterns and tools and transfer proven solutions with the documentation and operational readiness needed for long-term support.

Basic Requirements

• 10 years of relevant professional experience in software engineering automation engineering solutions engineering or a related technical field; less experience may be considered with relevant advanced education.

• Demonstrated experience designing coding deploying and supporting production software solutions.

• Full-stack engineering experience across user interfaces backend services APIs data processing and system integrations.

• Experience leading technical design or architecture for complex cross-functional initiatives.

• Experience with cloud platforms CI/CD version control automated testing and production observability.

• Demonstrated ability to translate unclear business requirements into practical technical solutions.

• Experience incorporating security privacy reliability and compliance requirements into software delivery.

• Bachelors degree in computer science engineering information systems or a related field or an equivalent combination of education and professional experience.

Preferred Skills/Experience

• Experience building AI-enabled products using LLMs retrieval-augmented generation tool calling agents or model evaluation techniques.

• Healthcare pharmacy or other regulated-industry experience including exposure to PHI or FHIR HL7 NCPDP or X12.

• Forward-deployed customer-facing field or solutions engineering experience.

• Startup founding engineer or zero-to-one product development experience.

• Depth in cloud architecture DevSecOps APIs distributed systems or data engineering.

• Experience creating evaluation datasets quality metrics monitoring and feedback loops for AI-enabled systems.

• Experience mentoring senior engineers or providing technical leadership within a product or delivery pod.

• Experience evaluating build-versus-buy options using quality risk operating cost and business outcomes.

Travel Work Environment and Physical Requirements

• Regular interaction with the McKesson teams and operational environments supported by this role is expected.

• Travel percentage and remote hybrid or on-site expectations must be confirmed by the hiring leader before publication.

• The role requires routine use of a computer and collaboration through in-person and virtual working sessions.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors including performance experience and skills equity regular job market evaluations and geographical addition to base pay other compensation such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson pleaseclick here.

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McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees without regard to race color religion sex sexual orientation gender identity national origin protected veteran status disability age genetic information or any other legally protected category. For additional information on McKessons full Equal Employment Opportunity policies visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted.

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