Technical AI Enablement Senior Engineer

Posted 2 hours 8 minutes ago by McKessons Corporate

Permanent
Full Time
Other
Cork, Ireland
Job Description

Technical AI Enablement Senior Engineer

Reports directly to the VP, McKesson Technology - AI & Automation.

Key Accountabilities
  • Partner with infrastructure, cloud, and data teams to design and deliver scalable AI solutions.
  • Ensure architectural soundness, security, and compliance for all AI deployments.
  • Translate business ideas and requirements into technical specifications and actionable plans.
  • Implement best practices for code quality, testing, and deployment.
Solution Integration
  • Execute and support the transition of AI pilots and prototypes into fully operational, integrated solutions.
  • Identify and address technical challenges to ensure successful implementation and adoption.
  • Establish best practices for AI solution deployment and lifecycle management.
Cross-Functional Collaboration
  • Act as a technical bridge between business, data, and technology teams.
  • Facilitate knowledge sharing and technical enablement across the organization.
  • Support the development of a robust AI capability within McKesson Technology.
Critical Skills
  • Expertise in AI and automation technologies, with hands on experience designing and implementing solutions.
  • Strong architectural skills, ensuring scalability, reliability, and security of AI systems.
  • Ability to translate business requirements into robust technical solutions.
  • Experience collaborating with infrastructure, cloud, and data teams to deliver integrated outcomes.
  • Excellent cross functional communication skills with both technical and non technical stakeholders.
Technology Stack & Tools
  • AI Frameworks/Tools: Experience with LangChain, OpenAI, and similar technologies.
  • Automation Platforms: Experience with UiPath or equivalent.
  • Programming Languages: Python, SQL, and API integration.
  • Cloud Services: Hands on experience with Azure, AWS, or Google Cloud.
  • Modern Practices: MLOps, containerization (Docker), CI/CD pipelines, Kubernetes.
Preferred Qualifications
  • Bachelor's Degree or equivalent in Computer Science, Engineering, Information Technology, or related field.
  • 5+ years of professional experience, including 2+ years in AI/automation solution deployment or technical enablement roles.
  • Experience with cloud platforms (Azure, AWS, Google Cloud) and modern data architectures.
  • Hands on experience with CI/CD, container orchestration (Kubernetes), and scalable architectures.
  • Certifications in AI, cloud architecture, or automation technologies.
  • Experience working in large, complex, multinational organizations.
Behavioral Competencies
  • Leadership: Demonstrates technical leadership and influence.
  • Accountability: Takes ownership for delivering robust, scalable solutions.
  • Adaptability: Thrives in a fast paced, evolving technology landscape.
  • Collaboration: Works effectively with cross functional teams.
  • Communication: Explains complex technical concepts clearly to diverse audiences.
  • Problem Solving: Applies advanced engineering skills to overcome technical challenges.
Why This Role is Critical

This position turns AI pilots into operationalized, integrated solutions at scale, ensuring architectural soundness and cross team partnership so McKesson realizes the full potential of AI and automation investments.

Benefits

Total Rewards package includes comprehensive benefits supporting physical, mental, and financial well being. Competitive compensation package includes base pay and potential annual bonus or long term incentive opportunities.

Base Pay Range: €72,000 - €120,000