At a Glance
- Tasks: Partner with investment teams to identify AI opportunities and develop practical solutions.
- Company: Leading global investment firm at the forefront of AI innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Ideal for those passionate about AI, product development, and investment research.
- Why this job: Be a key player in transforming investment research with cutting-edge AI technology.
- Qualifications: 3+ years in client-facing roles, strong AI knowledge, and excellent communication skills.
The predicted salary is between 63000 - 77000 £ per year.
Our client, a leading global investment firm, is looking for an Applied AI Enablement Engineer in London to help embed practical AI capabilities across its fundamental investment teams.
You will join a multidisciplinary group of data scientists, analysts and engineers, working directly with portfolio managers, researchers and senior business stakeholders.
This is a highly front-office-facing role where you will identify valuable use cases, understand research workflows and translate complex or ambiguous problems into AI solutions that people genuinely adopt.
Responsibilities
- Partner directly with investment teams to understand research workflows, uncover problems and identify high-value opportunities for AI.
- Act as the bridge between business users and technical teams, translating loosely defined requirements into practical solution and platform designs.
- Develop lightweight proofs of concept to test feasibility and demonstrate value before larger build decisions are made.
- Drive adoption through workshops, prompt and tool education, best-practice sharing and hands‑on support for users.
- Assess the effectiveness of AI solutions, communicate limitations clearly and feed user insights back into the wider technology roadmap.
Requirements
- 3+ years' experience in a client-facing product, solutions engineering, consulting or forward-deployed role, with the maturity to work closely with senior stakeholders.
- Strong understanding of modern AI and LLM tooling, including prompting, model APIs, retrieval-augmented generation, agents and evaluation approaches.
- Working knowledge of Python, SQL, data platforms and solution architecture, with enough technical depth to assess feasibility and guide delivery.
- A demonstrable ability to gather requirements from non-technical users and turn them into solutions that deliver measurable value and adoption.
- A calm, consultative and commercially minded approach, with strong communication skills, sound judgement and comfort operating in ambiguous environments.
This is an excellent opportunity for someone who enjoys sitting at the intersection of AI, product, data and investment research.
You do not need to be a pure software engineer or already work within a hedge fund.
The strongest candidates will be technically credible, naturally curious and able to earn the trust of demanding business users without overselling a solution.
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Business-Focused AI Enablement Engineer employer: Selby Jennings
Join a leading global platform that offers an exceptional opportunity for growth and development in the real estate M&A sector. With a collaborative and entrepreneurial team culture, you will be exposed to landmark European transactions while enjoying competitive compensation and clear progression pathways. This role not only allows you to enhance your financial modelling and analytical skills but also provides the chance to mentor junior team members, making it a truly rewarding environment for ambitious professionals.
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We think this is how you could land Business-Focused AI Enablement Engineer
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We think you need these skills to ace Business-Focused AI Enablement Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Selby Jennings. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Selby Jennings
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
