Senior AI Solutions Engineer

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

Job summary

Fidelity International seeks a Senior AI Solutions Engineer for the Asset Management Platforms to drive AI-enabled portfolio management solutions. You will partner with investment stakeholders to turn ideas into prototypes and production-ready software using AI-assisted development with strong engineering practices.

You will collaborate across Dublin, London and global teams, practicing governance and secure design while rapidly delivering impactful, enterprise-scale outcomes.

Qualifications

• Demonstrable experience using AI to build, prototype or deliver practical software solutions.
• Strong understanding of modern software engineering practices, Agile delivery, CI/CD and secure development.
• Practical experience with AI-assisted engineering tools such as GitHub Copilot, Claude Code, Cursor or similar.
• Understanding of prompt engineering, LLMs, AI agents, MCP, RAG and responsible AI practices.
• Experience delivering enterprise applications and progressing solutions from prototype towards production.
• Strong stakeholder management and communication skills, with the confidence to work directly with business users and senior technology colleagues.
• Experience with some of the following would be useful; 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 IaC.

Responsibilities

• AI Solution Delivery: Work directly with Portfolio Managers and investment stakeholders to understand problems, explore opportunities and shape AI-enabled solutions; move from prototype to production with user validation.
• Software Engineering & Technical Judgement: Design secure, scalable, maintainable AI-enabled software for enterprise environments; collaborate with data and architecture teams.
• AI Engineering Capability: Evaluate AI technologies, develop reusable prompts and engineering patterns; share lessons to broaden AI-native engineering capability.
• Architecture & Governance: Align solutions with target architecture; ensure compliance with security and regulatory requirements; balance innovation with risk management.
• Stakeholder Engagement: Build relationships across Dublin, London and global teams; communicate clearly and use user feedback to drive practical outcomes.

Skills

AI/ML

CI/CD

GitHub Copilot

Prompt engineering

Cloud platforms

REST APIs

Docker

Kubernetes

Stakeholder management

Software engineering

Tools

Docker

Kubernetes

Git

Job description

About the Opportunity

Job Type: Permanent Application Deadline: 28 September 2026 Job Description Title Senior AI Solutions Engineer Department Asset Management Platforms Location Dublin Reports To Head 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 Senior AI Solutions Engineer is a hands-on engineer responsible for working directly with investment stakeholders to rapidly explore, prototype and deliver AI-enabled portfolio management solutions. You will operate with a high degree of autonomy, using AI-assisted development to turn ideas and business problems into working solutions, rapidly testing and refining them with users before helping successful prototypes progress towards production. You will combine practical software engineering knowledge with strong stakeholder skills, technical judgement and curiosity.

Key Responsibilities

• AI Solution Delivery Work directly with Portfolio Managers and other investment stakeholders to understand problems, explore opportunities and shape AI-enabled solutions. Independently take ideas from concept and rapid prototype through iterative user validation and towards production. Use AI development tools extensively to design, generate, test, debug and refine software. Rapidly experiment with different approaches, recognising when to iterate, pivot or stop.
• Software Engineering & Technical Judgement Apply sound engineering judgement to review, validate and improve AI-generated code and solutions. Design solutions that are secure, scalable, maintainable and suitable for an enterprise environment. Work across engineering, data and architecture teams to resolve dependencies and move solutions forward.
• AI Engineering Capability Evaluate emerging AI technologies and identify high-value opportunities for Portfolio Management Tooling. Develop and share reusable prompts, workflows and engineering patterns. Share approaches and lessons learned to help establish the wider AI-native engineering capability.
• Architecture & Governance Collaborate with Solution Architects and Engineering Leads to ensure solutions align with Fidelity's target architecture. Ensure AI-enabled solutions comply with engineering standards, security policies and regulatory requirements. Balance rapid innovation with appropriate technology risk management and governance.
• Stakeholder Engagement Build strong relationships with investment, product, engineering, data and architecture stakeholders across Dublin, London and the wider global team. Communicate ideas clearly, challenge assumptions constructively and use regular user feedback to drive practical outcomes.

About you

You are a hands-on engineer who combines practical software engineering knowledge with curiosity, strong stakeholder skills and a passion for using AI to solve real business problems. You are comfortable operating autonomously in a fast-moving environment, experimenting rapidly and learning from approaches that do not work.

Experience

• Demonstrable experience using AI to build, prototype or deliver practical software solutions.
• Strong understanding of modern software engineering practices, Agile delivery, CI/CD and secure development.
• Practical experience with AI-assisted engineering tools such as GitHub Copilot, Claude Code, Cursor or similar.
• Understanding of prompt engineering, LLMs, AI agents, MCP, RAG and responsible AI practices.
• Experience delivering enterprise applications and progressing solutions from prototype towards production.
• Strong stakeholder management and communication skills, with the confidence to work directly with business users and senior 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. Comfortable operating autonomously and taking ownership of ambiguous problems. Pragmatic and willing to experiment, learn quickly and change direction when an approach does not work. Confident making practical technical decisions and constructively challenging assumptions. Collaborative, adaptable and focused on delivering useful business outcomes. Able to balance rapid innovation with appropriate governance, security and risk considerations.

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, 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.

For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.

For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.