AI Solutions Engineer

About the Opportunity Job Type: Permanent Application Deadline: 22 September 2026 Job Description Title                 AI Solutions Engineer Department       Asset Management Platforms Location          Dublin Reports To       Head of Portfolio Management Tooling, AMP Level                5 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 Archite