Lead technical vision and architecture for AI/ML solutions across AstraZeneca’s commercial landscape, guiding advanced AI from traditional ML to generative and agentic AI, while influencing multi-functional teams and ensuring production readiness.
Responsibilities
Define and drive technical vision, roadmap and architecture for AI capabilities
Provide hands‑on technical leadership to project teams
Lead design of multi‑agent systems and LLM applications
Establish evaluation standards and quality gates
Drive model optimization and cost/latency improvements
Requirements
Bachelor's degree in Computer Science or related quantitative field
Master's or PhD in machine learning, computer science or related field
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.
Responsibilities
Define and own the AI enablement strategy and multi-year roadmap for CoverMyMeds
Manage a portfolio of concurrent AI initiatives and a multimillion-dollar budget
Measure and report AI adoption, productivity, and ROI to executive leadership
Own the build and delivery of AI products and agents end to end
Champion an agentic-native approach: design products and workflows around AI agents
Requirements
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field
Master's degree in a technical field or an MBA
Nice to have: Healthcare, pharmacy, or health technology experience, including HIPAA and patient data protection
Nice to have: Experience with AI developer tooling such as Claude, Claude Code, GitHub Copilot, and Model Context Protocol (MCP)
Nice to have: Experience with FHIR and healthcare interoperability standards
Hiring AI Engineers to design, build and ship AI systems at the core of Liza's care model, focusing on full-stack development and healthcare applications.
Compensation
Competitive salary and meaningful equity
Responsibilities
Build production AI applications and agentic systems that support patients, clinicians and care teams
Partner directly with patients, physicians, health coaches and operations staff to turn workflows into technical requirements
Work closely with the AI-native design team to create user experiences
Design, test and iterate on prompts, context and tool definitions
Define and run evaluations: building gold-standard datasets and writing rubrics
Partner with leaders across FP&A, Treasury and Accounting to find AI opportunities and define the problem, the users and how success will be measured
Map finance processes end to end to find where AI can remove steps and manual effort
Own the AI backlog for Finance, ranking requests by business value, effort, risk and strategic fit
Triage each request and decide which type of solution will work
Build solutions for forecasting and variance analysis, cash insight, procurement intake, collections, invoice processing, close and reconciliations, revenue recognition, order management, tax research and risk tracking
Requirements
Bachelor's degree or equivalent practical experience
