At a Glance
- Tasks: Lead the transformation of investment data into scalable AI-driven systems.
- Company: A top Private Equity firm focused on innovative technology solutions.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Join a fast-paced team dedicated to driving technological advancements.
- Why this job: Make a real impact by developing cutting-edge AI solutions in finance.
- Qualifications: Experience in AI platforms, strong understanding of data architecture, and communication skills.
The predicted salary is between 80000 - 100000 £ per year.
A leading Private Equity firm is seeking an AI Solutions Engineer to lead the evolution of its internal information and intelligence infrastructure. The focus of the role is on transforming fragmented investment and portfolio data into scalable, searchable and commercially useful systems that support better decision-making across the platform. This is a hands‑on build role, working across data architecture, knowledge retrieval and AI‑enabled workflow automation.
Requirements
- Experience delivering AI/data platforms from concept to production
- Strong understanding of RAG, semantic search, vector databases and AI architecture
- Experience within Databricks and Microsoft environments
- Ability to translate investment or operational workflows into practical AI solutions
- Comfortable operating in a fast‑moving, build‑phase environment
Responsibilities
- Develop an AI‑enabled knowledge and retrieval layer across internal data
- Structure and operationalise unstructured investment information
- Implement contextual search and AI‑driven workflow capabilities
- Support the move from AI experimentation to embedded business adoption
Ideal profile
- Background within private equity or investment environments
- Experience building internal AI or data products from scratch
- Strong commercial and technical communication skills
If you're interested in leading impactful technology initiatives within a high‑performing environment, we’d love to hear from you.
AI Solutions Engineer: Build AI-Driven Investment Knowledge in London employer: twentyAI
As a leading Private Equity firm, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to drive meaningful change. Our commitment to professional growth is evident through tailored development opportunities and a collaborative environment where your contributions directly impact our investment strategies. Join us in a fast-paced setting that values creativity and initiative, making it an exceptional place for those looking to advance their careers in AI and data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solutions Engineer: Build AI-Driven Investment Knowledge in London
✨Tip Number 1
Network like a pro! Reach out to folks in the private equity and AI space on LinkedIn. Join relevant groups and engage in discussions. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your experience with AI/data platforms, especially if you've worked with RAG, semantic search, or vector databases. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and communication skills. Be ready to discuss how you've transformed data into actionable insights and how you can apply that to their investment workflows.
✨Tip Number 4
Don't forget to apply through our website! We’re always on the lookout for talented individuals who can help us build innovative AI solutions. Your next big opportunity could be just a click away!
We think you need these skills to ace AI Solutions Engineer: Build AI-Driven Investment Knowledge in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of AI Solutions Engineer. Highlight your experience with AI/data platforms and any relevant projects you've worked on that align with transforming investment data into actionable insights.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI in the investment space. Share specific examples of how you've successfully implemented AI solutions or improved workflows in previous roles.
Showcase Your Technical Skills:Don’t shy away from listing your technical skills! Mention your experience with RAG, semantic search, and vector databases. If you've worked with Databricks or Microsoft environments, make sure to include that too!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at twentyAI
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI architecture, RAG, and semantic search. Be ready to discuss how you've delivered AI/data platforms from concept to production, as this will show your hands-on experience in the field.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've transformed fragmented data into scalable systems. Think about specific challenges you've faced in previous roles and how you turned them into practical AI solutions that improved decision-making.
✨Familiarise Yourself with the Tools
Since the role involves working with Databricks and Microsoft environments, make sure you're comfortable discussing these tools. If you have any experience using them, be ready to share how you leveraged these platforms in your past projects.
✨Communicate Clearly and Confidently
Strong communication skills are key for this role. Practice explaining complex technical concepts in a way that's easy to understand. This will help demonstrate your ability to translate investment workflows into actionable AI solutions.
