AI Engineer Sr. Specialist

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

Job summary

McKesson in Ireland is seeking a Senior AI Engineer Sr. Specialist to design, build, and optimize AI-enabled solutions and agentic systems within Financial Shared Services.

You will translate business requirements into scalable architectures, lead technical initiatives, and mentor engineers across cross-functional teams. This role offers meaningful impact and opportunities to advance the digital workforce and enterprise efficiency.

Qualifications

• 7+ years of experience in software/AI engineering, automation or architecture.
• Bachelor's degree in CS, SE, IS, data science, AI, or related field.
• Experience designing, developing, testing, and deploying enterprise tech solutions.
• Experience integrating apps, data sources, APIs, and business systems.
• Hands-on 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 initiatives.
• Ability to translate business requirements into scalable, secure solutions.

Responsibilities

• Design and develop AI-enabled apps, automation workflows, and agentic systems for FSS.
• Translate requirements into scalable architectures, designs, and production capabilities.
• Establish reusable patterns and coding standards for agent/automation development.
• Build and deploy AI agents for workflows, routing, anomaly detection, and decision support.
• Develop APIs, data pipelines, and integrations linking agents with enterprise systems.
• Collaborate with technology, data, security, and governance teams on validation and deployment readiness.
• Evaluate new AI/automation tech and recommend improvements for fit and maintainability.
• Provide technical leadership and mentoring to engineers and analysts.

Skills

AI engineering

Automation development

Solution architecture

LLM orchestration

APIs

Cloud architecture

Data engineering

Mentoring

Education

Bachelor's degree in CS/Software Engineering

Master's degree preferred

Tools

Azure OpenAI

Databricks

Copilot Studio

Job 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 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.

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.

As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. 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.

Our Base Pay Range for this position

€68,300 - €113,800