Forward Deployed Engineer, MT Labs

Description

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 tomorrow’s 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.

Responsibilities

• 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.
• Bachelor’s 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 markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In 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, please click here.
• Our Base Pay Range for this position
• $157,500 - $262,500
• McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
• McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
• McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.
• McKesson job postings are posted on our career site: careers.mckesson.com .
• McKesson is an Equal Opportunity Employer
• Join us at McKesson!