AI Product Engineer

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.

McKessons Group Purchasing Organization (GPO) team delivers innovative sourcing contracting analytics and operational solutions that help healthcare organizations improve efficiency reduce costs and make informed business decisions. By combining industry expertise with data-driven insights and technology-enabled solutions the GPO organization supports critical business functions across McKesson and its customers.

As aSenior AI Product Engineer you will design build and own AI-powered products that support complex business workflows and decision-making processes. This role combines product ownership software engineering and AI solution development to deliver scalable tools that create measurable business value. You will work closely with business stakeholders data teams and technology partners to transform business challenges into AI-driven products that improve efficiency automation and insight generation.

This position is remote and candidates must reside within commuting distance of eitherThe Woodlands TXorIrving/Las Colinas TXand be available to attend onsite meetings as needed.

Key Responsibilities

• Partner with business subject matter experts to understand workflows and translate requirements into scalable product solutions.
• Collaborate with cross-functional teams to identify opportunities for automation and process optimization.
• Design develop and deploy AI-powered applications leveraging large language models (LLMs) retrieval-augmented generation (RAG) intelligent workflows and related technologies.
• Build and maintain data pipelines and integrations required to support AI-powered solutions.
• Integrate internal and external data sources to create scalable reliable and actionable intelligence solutions.
• Implement controls that improve solution quality including source attribution confidence scoring auditability and human review processes where appropriate.
• Develop user-focused products and experiences that drive adoption and measurable business impact.
• Define monitor and report key success metrics including user adoption productivity gains operational efficiencies and business outcomes.
• Support production AI applications through monitoring troubleshooting and continuous improvement efforts.
• Document technical designs data flows governance considerations and operational procedures.
• Partner with data engineering analytics and operations teams to leverage enterprise data assets and shared technology platforms.
• Contribute to the broader AI strategy by evaluating emerging technologies and recommending innovative solutions.

Minimum Requirement

Typically requires4 years of related experience and a bachelors degreein computer science engineering information systems data science or a related field or equivalent experience.

Education

Bachelors degree in Computer Science Engineering Information Systems Data Science or related field or equivalent professional experience.

Critical Skills

• 4 years of software engineering experience with proficiency in Python and SQL.
• Experience designing and implementing data pipelines integrations and cloud-based applications.
• Experience building AI machine learning generative AI intelligent workflows or LLM-powered solutions.
• Knowledge of modern cloud platforms such as Azure AWS or Google Cloud Platform.
• Experience integrating third-party data sources and APIs.
• Full-stack development experience including front-end application development and data visualization.
• Ability to translate business requirements into technical solutions and product capabilities.
• Strong analytical problem-solving and critical-thinking skills.
• Strong verbal and written communication skills with the ability to collaborate across technical and business teams.

Additional Skills

• Experience delivering solutions independently in dynamic and evolving environments.
• Experience developing products from concept through deployment and user adoption.
• Familiarity with AI governance model evaluation prompt engineering and solution monitoring.
• Ability to influence stakeholders and drive alignment without formal authority.
• Demonstrated curiosity innovation and continuous learning in emerging AI technologies.

Physical Requirements

• General office environment.
• Significant computer and keyboard usage required.
• Ability to attend onsite meetings as needed.

Travel

• Up to 10% travel.

McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration-related employment benefit for this role.

Applicants must be currently authorized to work in the United States on a full-time basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration-related employment authorization (e.g. H-1B O-1 E-3 H-1B1 TN F-1 OPT F-1 STEM OPT F-1 CPT etc.) now or in the future.

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 McKessons 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 pleaseclick here.

Our Base Pay Range for this position

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKessons (or affiliated entities like CoverMyMeds or RxCrossroads) name in fraudulent emails job postings or social media 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: .

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.

Join us at McKesson!