# Senior Manager, AI Engineering and Operations

**Company**: ICON
**Location**: Dublin, Ireland
**Work arrangement**: hybrid
**Experience**: senior
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://icon.wd3.myworkdayjobs.com/en-US/broadbean_external/job/Ireland-Dublin/Senior-Manager-AI-Engineering_JR160654-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_3224f7d7-240

## Description

ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster.

As a Senior AI Engineering Operations Manager at ICON, you will play a pivotal role in shaping and delivering our Enterprise AI capability. You will lead the engineering operations behind our central AI platform, multi-agent framework, and agent services layer,forming the foundation for AI innovation across the organisation.

This is a high-impact leadership role where you will combine technical expertise with people leadership to ensure our AI solutions are secure, scalable, reliable, and built to production-grade standards, enabling transformative outcomes across our global business.

### What You Will Do:

In this role, you will be responsible for the end-to-end leadership, delivery, and operational excellence of ICON’s AI engineering platform and services.

- Lead the development, stability, and continuous improvement of the central AI platform, multi-agent framework, and agent services, ensuring high performance and scalability.

- Drive engineering excellence through best practices in code quality, CI/CD, automated testing, and deployment governance.

- Establish robust monitoring, observability, and incident management processes to maintain production-grade reliability and service availability.

- Build, lead, and mentor a high-performing cross-functional engineering team, fostering a culture of innovation, collaboration, and continuous learning.

- Oversee resource planning and delivery across multiple concurrent AI programmes, ensuring alignment with strategic priorities and timelines.

- Embed security, compliance, and responsible AI principles into all engineering outputs, ensuring adherence to regulatory and organisational standards.

- Act as a key engineering partner to stakeholders, contributing to strategic planning, technology roadmaps, and the evaluation of emerging AI tools and frameworks.

### Your Profile:

To succeed in this role, you will bring a strong blend of technical depth, leadership capability, and a passion for building scalable AI solutions in a fast-evolving environment.

- 8+ years of experience in software engineering with a track record of leading and developing engineering teams.

- Hands-on experience designing, deploying, and operating AI/ML systems in production environments.

- Experience with agentic AI, multi-agent systems, or modern LLM-based frameworks.

- Strong understanding of cloud-native architectures, DevOps/MLOps practices, and platform engineering.

- Demonstrated ability to manage complex technology programmes and engage effectively with cross-functional stakeholders.

- Bachelor’s degree in Computer Science, IT, or related field (or equivalent experience).

- Microsoft certifications (e.g. Microsoft 365, Azure, Power Platform, AI) highly desirable.

### Why Join ICON?

At ICON, you will be part of a global organisation at the forefront of innovation in healthcare intelligence and clinical research. This role offers the opportunity to shape enterprise-wide AI capabilities, work with cutting-edge technologies, and make a meaningful impact by enabling smarter, data-driven decision-making across the organisation.

We are committed to fostering an inclusive environment where our people can thrive, develop, and make a difference.

### Rewards & Benefits

ICON offers a competitive and comprehensive total rewards package designed to support your health, wellbeing, and career development.

Benefits may include:

- Competitive base salary and performance-related incentives.

- Health and wellbeing programmes including medical, dental, and vision coverage where applicable.

- Retirement and pension plans.

- Life assurance and disability coverage.

- Employee assistance programmes and wellbeing resources.

- Learning and development opportunities through structured training and career pathways.

## Skills

### Required
- AI Engineering
- Multi-agent systems
- LLM-based frameworks
- Cloud-native architectures
- DevOps/MLOps
- Platform engineering
- Software engineering
- Leadership

### Nice to have
- Microsoft certifications

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