At a Glance
- Tasks: Design and develop AI-powered tools to enhance engineering effectiveness and drive business value.
- Company: Leading global investment management firm with a focus on innovation.
- Benefits: Hybrid work model, competitive pay, and potential for permanent role.
- Other info: Collaborative culture with opportunities for career growth.
- Why this job: Shape AI strategy in a major firm and work on impactful projects.
- Qualifications: Strong software engineering skills and experience with AI technologies.
The predicted salary is between 72000 - 88000 £ per year.
Global Investment Management Firm | London | Hybrid (3 Days Office Based) | Contract with Potential for Permanent
We're partnering with a leading global investment management organisation to hire a Senior AI Engineer who can help shape the adoption of AI across engineering, architecture, and business-critical processes.
This is an opportunity to join a business that manages significant global assets, operates within a highly regulated environment, and is making substantial investment into AI-enabled capabilities.
This isn't a traditional AI or Machine Learning Engineer role.
We're looking for someone who can combine strong engineering fundamentals with practical experience applying AI and LLM technologies to real-world business challenges.
You'll be responsible for identifying where AI can create genuine business value, improving engineering productivity, building internal tooling, and helping define how AI capabilities should be embedded into enterprise architecture.
- What You'll Be Doing
- Designing and developing AI-powered tools and solutions to improve engineering effectiveness.
- Building workflows, automations and integrations using APIs, Python and modern AI platforms.
- Exploring and implementing Agentic AI use cases across internal business functions.
- Advising on how AI and LLM technologies should be integrated into enterprise architecture.
- Supporting the safe and responsible use of AI within a regulated environment.
- Working closely with engineering, product and business teams to deliver measurable outcomes.
- Participating in architecture workshops, whiteboarding sessions and technology strategy discussions.
What We're Looking For
- Strong software engineering background with experience delivering complex technology solutions.
- Practical exposure to Generative AI, Agentic AI, LLMs or related AI technologies.
- Experience building integrations, automation and tooling using Python, Power Shell and APIs.
- Strong systems design and architecture capabilities.
- Experience working within Azure cloud environments.
- AWS Bedrock exposure would be advantageous.
- Ability to communicate technical concepts to both technical and non-technical stakeholders.
- Previous experience within Financial Services, Asset Management, Investment Management or another regulated industry would be highly beneficial.
Why Join?
- Opportunity to influence the AI strategy of a major investment management business.
- Work on genuinely impactful engineering and AI initiatives rather than proof-of-concept projects.
- High level of visibility across technology and business functions.
- Collaborative engineering culture with significant investment in innovation.
- Contract opportunity with the potential for longer-term or permanent progression.
We believe in equal opportunity for all and actively encourage applications from diverse backgrounds, experiences, and perspectives.
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Senior Ai Engineer - Investment Management - SGI in London employer: eFinancialCareers
As a leading global asset manager based in London, we pride ourselves on fostering a dynamic and inclusive work culture that values innovation and collaboration. Our employees benefit from comprehensive professional development opportunities, competitive compensation packages, and the chance to work with cutting-edge AI tools that enhance their skills and productivity. Join us to be part of a team that not only drives success but also prioritises employee well-being and growth in a vibrant city.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Ai Engineer - Investment Management - SGI in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at eFinancialCareers or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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✨Tap into Online Developer Communities
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We think you need these skills to ace Senior Ai Engineer - Investment Management - SGI in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at eFinancialCareers.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at eFinancialCareers and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at eFinancialCareers
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If eFinancialCareers uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
