3 days ago
Cork, IrelandSenior
Responsibilities
- Design and develop AI-enabled applications, intelligent automation workflows, and agentic systems for Financial Shared Services.
- Translate business and process requirements into scalable technical architectures, solution designs, engineering plans, and production-ready capabilities.
- Create reusable design patterns, frameworks, components, coding practices, and technical standards for agent and automation development.
- Build, configure, test, deploy, and enhance AI agents for workflows, 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 validation, performance testing, quality assurance, deployment readiness, and operationalization.
- Evaluate emerging AI and automation technologies and recommend improvements based on business fit, feasibility, standards, risk, and maintainability.
- Provide technical leadership and mentoring to engineers, automation specialists, analysts, and delivery teams.
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.
- Ability to translate business requirements into scalable, secure, reliable, and maintainable technical solutions.
- Preferred: master’s degree in a related technical field.
- Preferred: experience with Microsoft Azure AI, Azure OpenAI, Microsoft Copilot Studio, Databricks, or comparable enterprise AI and data platforms.
- Preferred: experience building agentic workflows, retrieval-augmented generation solutions, tool-using agents, or multi-step AI orchestration.
- Preferred: experience with MLOps, LLMOps, observability, automated testing, model or prompt evaluation, and production monitoring.
- Preferred: experience with identity, access, secrets management, secure API design, data protection, and Responsible AI controls.
- Preferred: experience supporting Finance Shared Services, Global Business Services, or enterprise Finance processes.
- Preferred: cloud, AI, data engineering, automation, or Agile delivery certifications.
- Preferred: experience mentoring technical practitioners and developing reusable engineering assets, standards, or communities of practice.
Benefits
- Comprehensive benefits supporting physical, mental, and financial well-being.
- Competitive compensation package with potential annual bonus or long-term incentive opportunities.
- Traditional office environment.
- Up to 10% travel.
- A large percentage of work is computer-based.
Tech Stack
Databricks
Categories
About McKesson
McKesson is a public healthcare company that distributes pharmaceuticals and medical‑surgical supplies and provides pharmacy and provider technology and services. It sells to pharmacies, hospitals, health systems, and biopharma manufacturers through logistics, specialty and oncology support, pharmacy management, and healthcare IT/analytics offerings. Founded in 1833 and headquartered in Irving, Texas, it trades on the NYSE under the ticker MCK.