AI Engineer Sr. Specialist - HRBR

McKesson; Cork; On-site; EUR 68,000 - 114,000; Full time

Job summary

McKesson, a Fortune 10 healthcare company, is seeking an AI Engineer Sr. Specialist to design, build, integrate, deploy, and optimize AI-enabled solutions within Financial Shared Services.

You will translate business requirements into scalable architectures, mentor engineers, and partner with governance, data, and security teams. In this role you will develop AI agents, data pipelines, and integrations, while evaluating emerging AI technologies and ensuring production readiness.

Qualifications

• 7+ years of experience in software engineering, AI engineering, automation development, or solution architecture.
• Experience designing, developing, testing, and deploying enterprise technology solutions.
• Experience integrating applications, data sources, APIs, and business systems.
• Hands‑on experience with Generative AI platforms, agent frameworks, or LLM orchestration.
• Experience with API development, cloud architecture, data engineering, and production integrations.
• Experience supporting technology‑enabled transformation or operational improvement initiatives.
• Demonstrated ability to translate business requirements into scalable, secure, reliable, and maintainable technical solutions.

Responsibilities

• Design and develop AI-enabled applications, intelligent automation workflows, and agentic systems.
• Translate business and process requirements into scalable technical architectures and production-ready capabilities.
• Establish reusable design patterns, frameworks, components, coding practices, and standards.
• Build and enhance AI agents supporting workflows, anomaly detection, and decision support.
• Develop APIs, data pipelines, and integrations connecting agents with enterprise systems.
• Collaborate with governance, security, data, and enterprise technology teams for validation and deployment readiness.
• Evaluate emerging AI and automation technologies and recommend improvements.

Skills

AI engineering

Automation development

Solution architecture

Software engineering

API development

Education

Bachelor's degree

Master's degree

Tools

Azure AI

Azure OpenAI

Databricks

Job description

Company Overview

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 is seeking an AI Engineer Sr. Specialist to design, build, integrate, deploy, and optimize AI-enabled solutions, intelligent automation, and agentic systems across Financial Shared Services. Reporting to the Sr. Manager, AI Ops & Automation Monitoring, this senior technical contributor will translate business requirements into secure, scalable, maintainable solutions that improve productivity, quality, decision‐making, and service delivery. You will partner with Agentic Systems leadership, Business Intelligence, Process Intelligence, Data Governance, Data Operations, Enterprise Technology, and operational stakeholders. The role combines AI engineering, solution architecture, agent development, systems integration, cloud and data engineering, and technical leadership to advance the FSS digital workforce and responsibly transform how work is performed.

What You’ll Do

• Design and develop AI-enabled applications, intelligent automation workflows, and agentic systems supporting FSS operations and decision‐making.
• Translate business and process requirements into scalable technical architectures, solution designs, engineering plans, and production-ready capabilities.
• Establish reusable design patterns, frameworks, components, coding practices, and technical standards for agent and automation development.
• Build, configure, test, deploy, and enhance AI agents supporting workflows, operational processes, knowledge retrieval, intelligent routing, anomaly detection, and decision support.
• Develop APIs, integrations, data pipelines, and orchestration capabilities connecting agents with enterprise systems, data sources, and workflow platforms.
• Partner with technology, data, security, and governance teams on technical validation, performance testing, quality assurance, deployment readiness, and operationalization.
• Evaluate emerging AI and automation technologies and recommend improvements based on business fit, technical feasibility, enterprise standards, risk, and long‑term maintainability.
• Provide technical leadership and mentoring to engineers, automation specialists, analysts, and delivery teams while promoting experimentation and continuous learning.

Basic Requirements

• 7+ years of experience in software engineering, AI engineering, automation development, solution architecture, or a related technical function.
• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, Artificial Intelligence, Engineering, or a related technical discipline.
• Experience designing, developing, testing, and deploying enterprise technology solutions.
• Experience integrating applications, data sources, APIs, and business systems.
• Hands‑on experience with Generative AI platforms, agent frameworks, or LLM orchestration.
• Experience with API development, cloud architecture, data engineering, and production integrations.
• Experience supporting technology‑enabled transformation or operational improvement initiatives.
• Demonstrated ability to translate business requirements into scalable, secure, reliable, and maintainable technical solutions.

Preferred Skills / Experience

• Master's degree in a related technical field.
• Experience with Microsoft Azure AI, Azure OpenAI, Microsoft Copilot Studio, Databricks, or comparable enterprise AI and data platforms.
• Experience building agentic workflows, retrieval‑augmented generation solutions, tool‑using agents, or multi‑step AI orchestration.
• Experience with MLOps, LLMOps, CI/CD, observability, automated testing, model or prompt evaluation, and production monitoring.
• Experience with identity, access, secrets management, secure API design, data protection, and Responsible AI controls.
• Experience supporting Finance Shared Services, Global Business Services, or enterprise Finance processes.
• Cloud, AI, data engineering, automation, or Agile delivery certifications.
• Experience mentoring technical practitioners and developing reusable engineering assets, standards, or communities of practice.

Work Environment, Travel & Physical Requirements

Traditional office environment. Up to 10% travel. A large percentage of time performing computer‑based work is required.

Benefits & Total Rewards

At McKesson, we care about the well‑being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well‑being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves.

Compensation

In addition to base pay, other compensation, such as an annual bonus or long‑term incentive opportunities may be offered.

Our Base Pay Range for this position €68,300 - €113,800