AI Engineer

Fidelity International; Dublin; Hybrid; EUR 110,000 - 150,000; Full time

Benefits offered by this job

Benefits package

Flexible working

Job summary

Fidelity International is seeking an AI Engineer to lead AI-enabled software engineering across Asset Management Platforms. You will shape the technical vision, governance, and architecture while enabling teams to adopt AI-driven development responsibly and efficiently.

You will champion modern software practices, collaborate with business and technical stakeholders, and drive high-quality delivery across complex investment platforms.

Qualifications

• Experience delivering enterprise-scale software and leading engineering transformation.
• Hands-on with AI engineering tools and secure coding practices.
• Strong understanding of AI strategies, model orchestration, and governance.

Responsibilities

• Define the technical vision, architecture, and operating model for AI-enabled engineering across AMP.
• Drive adoption of AI-assisted software engineering practices and establish reusable patterns.
• Design and deliver scalable software solutions, champion best practices across CI/CD, DevSecOps, observability and automation.
• Partner with Leads, Architects, and stakeholders to identify AI-driven improvement opportunities.

Skills

AI Strategy

Platform Leadership

Software Engineering

Agile Delivery

DevSecOps

Coaching Engineers

Stakeholder Management

Cloud Platforms

Tools

GitHub Copilot

Claude Code

Cursor

Job description

About the Opportunity

Job Type: Permanent Application Deadline: 29 September 2026 Job Description Title AI Engineer Department Asset Management Platforms Location Dublin Reports To Head of Research, AMP Level 6 We’re proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our team and feel like you’re part of something bigger. Our clients come from all walks of life and so do we. We are proud of our inclusive culture and encourage applications from the widest mix of talent, whatever your age, gender, ethnicity, sexual orientation, gender identity, social background and more. As a flexible employer, we trust our people to perform their role in the way that works best for them, our clients and our business. We are a disability-friendly company and would welcome a conversation with you if you feel you might benefit from any reasonable adjustments to perform to the best of your ability during the recruitment process and beyond.

About your team

Asset Management Platforms (AMP) is responsible for the design, engineering and delivery of technology solutions that support Fidelity’s global Asset Management business. We partner with Investment Management, Asset Management Operations and Distribution teams across Europe and Asia to deliver modern platforms that enable investment professionals to make better investment decisions and improve client outcomes.

About your role

The AI Engineer is a senior technical leader responsible for defining and delivering AI-enabled software engineering capabilities across Asset Management Platforms (AMP). The role combines enterprise AI strategy, software engineering leadership, and practical adoption of AI-assisted development to improve productivity, quality, and speed of delivery while maintaining Fidelity’s standards for architecture, security, governance, and software quality. This is an exciting opportunity to shape how AI is adopted across Asset Management Platforms, helping engineering teams deliver high-quality software faster while ensuring solutions remain secure, maintainable and aligned with Fidelity’s engineering standards.

Key Responsibilities

• AI Strategy & Platform Leadership Define the technical vision, architecture, and operating model for AI-enabled engineering across AMP. Establish enterprise standards, reference architectures, and governance frameworks for AI, Generative AI, AI agents, and AI-assisted software development. Lead decisions relating to model strategy, orchestration, retrieval architecture, and multi-model AI adoption. Evaluate emerging AI technologies and identify opportunities to create business and engineering value.
• AI Engineering Enablement Drive adoption of AI-assisted software engineering practices across development teams. Develop reusable patterns, workflows, prompts, and accelerators. Coach engineers in the effective use of tools such as GitHub Copilot, Claude Code, and other AI development assistants. Establish standards for AI-generated code, quality assurance, security, and responsible AI usage.
• Software Engineering & Architecture Design and deliver modern, scalable software solutions supporting Fidelity’s investment platforms. Champion engineering best practices across architecture, development, testing, CI/CD, DevSecOps, observability, and automation. Support technical design decisions and guide teams through complex engineering challenges. Contribute to engineering strategy, roadmaps, and architecture governance.
• Stakeholder Leadership Partner with Engineering Leads, Architects, Product Owners, and business stakeholders to identify opportunities for AI-driven improvement. Build communities of practice and promote knowledge sharing across engineering teams. Communicate AI strategy and engineering outcomes to technical and business audiences.

About you

We’re looking for an experienced software engineer who has designed and delivered production Generative AI/LLM solutions.

Essential Experience

• Experience in software engineering, architecture, or technical leadership roles.
• Proven track record delivering enterprise-scale software solutions and leading engineering transformation initiatives.
• Strong experience with Agile delivery, CI/CD, DevSecOps, engineering governance, and secure software development.
• Hands-on experience with AI engineering tools such as GitHub Copilot, Claude Code, Cursor, or similar platforms.
• Strong understanding of RAG, retrieval, embeddings/vector search, agents and agentic workflows, MCP/tool integration, prompt/context engineering, model orchestration and AI evaluation.
• Strong software engineering background across modern programming languages, cloud platforms, APIs, containers, automation, and observability.
• Ability to balance innovation with risk management, governance and regulatory requirements.
• Experience within Asset Management, Investment Management, or Financial Services environments is preferred.

Technical Skills

• Java, Python, C#, TypeScript or similar modern programming languages
• Cloud platforms (AWS, Azure or GCP)
• Containerisation technologies including Docker and Kubernetes
• Git-based source control and collaborative development workflows
• REST APIs and event-driven architectures
• CI/CD tooling
• Test automation frameworks
• Infrastructure as Code
• Observability and monitoring platforms
• Enterprise architecture principles

Personal Attributes

• Strategic thinker with strong technical depth.
• Passionate about engineering excellence and emerging technologies.
• Strong coaching, influencing, and stakeholder management skills.
• Collaborative, pragmatic, and delivery focused.
• Comfortable operating across both business and technology domains.

Feel rewarded

For starters, we’ll offer you a comprehensive benefits package. We’ll value your wellbeing and support your development. And we’ll be as flexible as we can about where and when you work – finding a balance that works for all of us. It’s all part of our commitment to making you feel motivated by the work you do and happy to be part of our team.