At a Glance
- Tasks: Build and deploy cutting-edge AI systems that impact investment decisions.
- Company: Leading global investment firm with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and a focus on ethical AI.
- Why this job: Join a high-visibility role shaping the future of AI in finance.
- Qualifications: 5+ years in AI engineering with strong Python skills and production experience.
The predicted salary is between 36000 - 60000 £ per year.
A leading global investment firm with approximately $12bn AUM is building out its next-generation AI capability and is hiring an AI Engineer to define and deliver applied AI systems directly impacting research, trading, and business decision-making. This is a high-visibility role working directly with Portfolio Managers, quants, and senior leadership to architect and deploy production-grade LLM and agentic AI systems across the firm.
You will:
- Define and execute the technical roadmap for firmwide AI initiatives
- Design, build, and deploy LLM-powered tools embedded directly into investment workflows
- Architect agentic systems capable of multi-step reasoning, planning, and tool execution
- Build and operate MCP (Model Context Protocol) servers to securely connect AI agents to enterprise data and APIs
- Own the full LLM lifecycle including prompt and system design, model selection, evaluation, deployment, monitoring, and iteration
- Lead rapid prototyping using RAG, tool and function calling, and modern agent frameworks
- Establish best practices for responsible, production-grade AI deployment
- Mentor engineers and help raise the technical bar across applied AI initiatives
This is not a research-only role. You will be shipping production systems that portfolio managers rely on.
What We’re Looking For
- 5+ years of industry experience with the last 2+ years building and deploying production AI systems
- Advanced degree (MS or PhD) in Computer Science, AI, ML, or related quantitative field
- Hands‑on experience with production LLM applications including evaluation, monitoring, and iteration
- Strong experience with agentic frameworks and agent design patterns
- Experience building MCP servers or similar AI integration layers
- Excellent Python engineering skills including object‑oriented design, microservices, and REST APIs
- Ability to operate independently in a fast‑paced, highly collaborative environment
Nice to Have
- Deep curiosity about AI and emerging technologies
- Strong ownership mindset and high ethical standards
- Experience delivering AI tools directly to business stakeholders
If you are excited about building agentic AI systems that directly influence investment decision-making and want to operate at the intersection of AI engineering and capital markets, I would welcome a confidential conversation.
AI Engineer employer: Bowden Brown
Join a leading quantitative hedge fund that values innovation and excellence, offering PhD candidates the chance to apply their advanced research skills in real financial markets. With a collaborative work culture, access to cutting-edge technology, and opportunities for professional growth, you will be part of a team that encourages continuous learning and impactful contributions. Located in a vibrant financial hub, this role provides not only competitive compensation but also the unique advantage of seeing your research translate into tangible results.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Get Involved in Finance Communities
Join investment and asset management forums or local finance meetups. Engaging with professionals in these circles can not only help you learn the ropes but also put you in touch with potential employers like Bowden Brown, who often scout for talent at such events.
✨Utilise Networking Platforms
Connect with professionals already working in asset management on platforms like LinkedIn. A personal message showing your interest in their role or asking for advice can lead to significant connections that might tip the scales in your favour at companies like Bowden Brown.
✨Show Off Your Financial Skills
Consider contributing to investment blogs or even creating your own content. Sharing your insights and analyses can demonstrate your knowledge and passion for the industry, making you stand out when applying for roles at organisations like Bowden Brown.
✨Engage with Recruitment Events
Attend finance recruitment fairs and expos. These events are perfect for making a strong impression with recruiters and potentially securing interviews. Many companies, including Bowden Brown, attend these events to scout for fresh talent, so make sure you stand out with your enthusiasm and knowledge!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Highlight Your Analytical Skills:In asset management, it's all about the numbers! Make sure your CV showcases your analytical skills, particularly any experience with financial modelling or quantitative analysis. Employers like Bowden Brown want to see how you can dissect data and turn it into actionable insights, so don't hold back on your achievements!
Show Off Your Relevant Qualifications:Having the right qualifications can be a game changer in investment roles. If you've got a degree in finance, economics, or a related field, flaunt it! Also, if you have any certifications like CFA or CAIA, mention those too. It’ll help demonstrate your commitment and expertise in the field to Bowden Brown.
Tailor Your Cover Letter to Reflect Passion for Investment:Your cover letter is your chance to express your enthusiasm for the investment world. Share why you're drawn to asset management and your understanding of market trends. The hiring team at Bowden Brown will be keen to see that passion and how you keep up with industry news and developments.
Quantify Your Achievements:Don’t just tell them what you did - show them! When detailing your previous experience, include quantifiable achievements to illustrate your impact. Whether it’s percentage growth on a portfolio or cost savings in a project, these figures will help your application stand out to Bowden Brown. Numbers speak louder than words!
How to prepare for a job interview at Bowden Brown
✨Brush Up on Financial Modelling
For a role in investment asset management, being well-versed in financial modelling is crucial. Make sure you can articulate your experience with tools like Excel or any specialised software you've used. Maybe even prepare a couple of examples of financial models you've built or analysed.
✨Know Your Investment Strategies
Expect questions around different investment strategies and how you would apply them in various market scenarios. Get ready to discuss current market trends and how they impact portfolio management. This shows you're not just about the theory but also keeping an eye on real-world applications.
✨Show Your Analytical Skills
Since this is a full-time role, companies like Bowden Brown want to see your analytical thinking in action. Prepare to solve case studies or tackle some numerical puzzles during the interview. Practicing these types of questions will boost your confidence and show off your skills.
✨Discuss Your Long-Term Career Goals
As you’re applying for a full-time position, the interviewers will be interested in your commitment to the field. Be ready to discuss how this role fits into your long-term career plans in asset management. This shows you're not just looking for any job, but you’re genuinely interested in growing withBowden Brown.
