AI Solutions Engineer

About the Opportunity
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Job Type: Permanent
Application Deadline: 28 September 2026Job Description

Title AI Solutions Engineer

Department Asset Management Platforms

LocationDublin

Reports ToHead of Portfolio Management Tooling, 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.

The Portfolio Management Tooling team develops and supports the technology ecosystem used by Portfolio Managers, Investment Directors, Quantitative Researchers and Investment Specialists across multiple investment capabilities, including Multi\-Asset, Systematic Investing, Fixed Income and Equities. Our platforms underpin critical investment processes including research, portfolio construction, analytics, order generation, execution management and investment risk.

As Artificial Intelligence continues to transform software engineering, we are investing in modern engineering practices that combine AI\-assisted development with robust engineering disciplines to improve productivity, quality and speed of delivery. The AI Solutions Engineer will play a key role in helping engineering teams adopt AI\-enabled development practices safely, effectively and responsibly across Asset Management Platforms.

About your role

The AI Solutions Engineer is a hands\-on technical leader responsible for accelerating software engineering delivery through the effective adoption of Artificial Intelligence and modern engineering practices.

Working closely with Engineering Leads, Solution Architects, Product Owners and software engineering teams, you will identify opportunities to improve engineering productivity through AI\-assisted development while maintaining Fidelity's high standards for architecture, engineering governance, software quality and security.

You will combine strong software engineering expertise with practical knowledge of Large Language Models (LLMs) and AI\-powered development tooling to establish best practices for AI\-assisted software engineering. This includes enabling engineering teams to make effective use of technologies such as Claude Code, GitHub Copilot and other AI coding assistants to improve software design, implementation, testing, documentation and operational support.

The role is equally focused on engineering excellence and innovation. You will champion modern software engineering practices, support architectural decision\-making, promote CI/CD and DevSecOps adoption, and help establish governance frameworks for the responsible use of AI within the software development lifecycle.

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 Engineering Enablement

• Drive adoption of AI\-assisted software engineering practices across Asset Management Platforms.


• Evaluate emerging AI development tools and recommend practical use cases for engineering teams.


• Champion the effective use of Large Language Models to improve developer productivity and software quality.


• Develop reusable prompts, workflows, templates and engineering patterns for AI\-assisted software development.


• Coach and mentor engineering teams in the effective use of Claude Code, GitHub Copilot and other AI\-assisted development tools.


• Identify opportunities where AI can automate engineering activities including documentation, code generation, testing, code review, refactoring and technical analysis.


• Help establish engineering standards and governance for AI\-generated code.

Software Engineering

• Design and develop modern software solutions supporting Fidelity's investment management platforms.


• Promote engineering best practices across software design, development, testing and maintainability.


• Support engineering teams with complex technical design and implementation challenges.


• Encourage clean architecture, modular design and reusable software components.


• Participate in code reviews and engineering quality initiatives.


• Contribute to continuous improvement of engineering standards and practices.

Engineering Excellence

• Champion modern engineering practices including Continuous Integration, Continuous Delivery and DevSecOps.


• Improve engineering productivity through automation and tooling.


• Work with engineering teams to optimise software delivery pipelines.


• Promote test automation and engineering quality throughout the software development lifecycle.


• Support engineering governance while encouraging innovation and experimentation.

Architecture \& Governance

• Collaborate with Solution Architects and Engineering Leads to ensure solutions align with Fidelity's target architecture.


• Ensure AI\-assisted software development complies with engineering standards, security policies and regulatory requirements.


• Promote sound software engineering principles including maintainability, scalability, resilience and observability.


• Contribute to engineering roadmaps and technology strategy.


• Balance innovation with appropriate technology risk management and governance.

Stakeholder Engagement

• Build strong working relationships with Engineering Leads, Product Owners, Solution Architects and software engineering teams.


• Partner with investment technology stakeholders to understand engineering challenges and identify opportunities for AI\-enabled improvement.


• Establish and support communities of practice around AI\-assisted software engineering.


• Deliver demonstrations, technical workshops and knowledge\-sharing sessions with senior investment professionals.


• Stay informed on emerging AI technologies and assess their applicability within Fidelity's engineering environment.

About you

You are a hands\-on engineer with strong technical aptitude, curiosity and a passion for using AI to build useful software. You enjoy learning through experimentation, working with others and turning ideas into practical solutions in a fast\-moving environment.

Experience

• Practical experience using AI development tools to build or prototype solutions; this may come from professional experience, personal projects or independent experimentation.


• Good understanding of software engineering principles and experience working with code.


• Experience with AI\-assisted development tools such as GitHub Copilot, Claude Code, Cursor or similar.


• Understanding of prompt engineering and AI\-enabled software development workflows.


• Evidence of having built or delivered something practical, with an interest in progressing prototypes towards production.


• Strong collaboration and communication skills, with the confidence to engage with business and technology colleagues.

Experience with some of the following would be useful; we do not expect candidates to have experience across all areas:

• Java, Python, C\#, TypeScript or similar languages


• AWS, Azure or GCP


• Docker and Kubernetes


• Git\-based development workflows


• REST APIs and event\-driven architectures


• Test automation and Infrastructure as Code


• Observability and monitoring tools

Experience in Asset Management, Investment Management or Financial Services is desirable but not essential.

Personal Attributes

• Curious, creative and enthusiastic about experimenting with AI.


• Strong aptitude and willingness to learn new technologies quickly.


• Pragmatic and comfortable learning from approaches that do not work.


• Collaborative, adaptable and comfortable working across business and technology teams.


• Delivery\-focused and motivated by turning ideas into useful outcomes.


• Comfortable working with some ambiguity while seeking guidance when needed.

Behavioural Expectations

Brave

• Prioritise learning and momentum over defending legacy commitments.


• Remove blockers and reset priorities when outcomes are at risk.


• Role model stopping or reshaping work that no longer delivers value.

Bold

• Set clear, outcome\-led direction and make decisive trade\-offs.


• Simplify processes and governance where possible.


• Empower teams through effective decision making.

Curious

• Drive continuous prioritisation based on outcomes, data and evidence.


• Challenge assumptions and encourage innovative thinking.


• Use delivery metrics and business outcomes to inform decision making.

Compassionate

• Act as a visible advocate for client and business outcomes.


• Foster collaboration, trust and psychological safety.


• Balance delivery pace with sustainable ways of working.

Feel rewarded

For starters, w

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