AI Product Engineer

About the role

McKesson's 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. As a Senior 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.

This position is remote and candidates must reside within commuting distance of either The Woodlands, TX or Irving/Las Colinas, TX and be available to attend onsite meetings as needed.

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.

Requirements

• Typically requires 4+ years of related experience and a bachelor's degree in computer science, engineering, information systems, data science, or a related field, or equivalent experience.
• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related field, or equivalent professional experience.

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.
• 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.

Pay

Our Base Pay Range for this position is $108,700 - $181,100. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.

Benefits

For more information regarding benefits at McKesson, please click here.

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.