Senior AI Solutions Engineer

Posted 3 Days Ago
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Hiring Remotely in Office, Machaze, Manica, MOZ
Remote
Senior level
Software • Financial Services
The Role
Build and deliver AI-enabled portfolio management solutions from concept through production. Partner with investment stakeholders to prototype, validate, and refine solutions using AI-assisted development. Review AI-generated code, design secure and scalable enterprise systems, evaluate emerging AI technologies, and establish reusable engineering patterns. Collaborate with architecture, engineering, data, and investment teams while ensuring compliance with security, regulatory, governance, and responsible AI requirements.
Summary Generated by Built In
About the OpportunityJob Type: Permanent

Application Deadline: 17 November 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.

Skills Required

  • 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 toward production
  • Strong stakeholder management and communication skills
  • Experience with Java, Python, C#, TypeScript, or similar languages
  • Experience with AWS, Azure, or GCP
  • Experience with Docker and Kubernetes
  • Experience with Git-based development workflows
  • Experience with REST APIs and event-driven architectures
  • Experience with test automation and Infrastructure as Code
  • Experience with observability and monitoring tools
  • Experience in asset management, investment management, or financial services

Fidelity International Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fidelity International and has not been reviewed or approved by Fidelity International.

  • Parental & Family Support — Equalised paid parental leave and five paid days for caring responsibilities are explicitly provided. Feedback suggests these policies are a notable strength for employees with family needs.
  • Wellbeing & Lifestyle Benefits — Mental-health support, an Employee Assistance Programme, and trained Mental Health First Aiders are part of the offering. Broader physical, mental, and financial-wellbeing resources are highlighted alongside healthcare support.
  • Flexible Benefits — Many roles follow a hybrid model that allows working from home with minimum office attendance. Feedback suggests this flexibility supports work-life balance in practice.

Fidelity International Insights

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The Company
HQ: London
9,919 Employees
Year Founded: 1969

What We Do

Fidelity International offers investment solutions and services and retirement expertise to more than 2.5 million customers globally. As a privately held, purpose-driven company with a 50-year heritage, we think generationally and invest for the long term. Operating in more than 25 countries and with $739.9 billion* in total assets, our clients range from central banks, sovereign wealth funds, large corporates, financial institutions, insurers and wealth managers, to private individuals. Our Workplace & Personal Financial Health business provides individuals, advisers and employers with access to world-class investment choices, third-party solutions, administration services and pension guidance. Together with our Investment Solutions & Services business, we invest $567 billion on behalf of our clients. By combining our asset management expertise with our solutions for workplace and personal investing, we work together to build better financial futures. *Data as of 31 March 2021

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