At a Glance
- Tasks: Transform investment data into scalable AI-driven systems for better decision-making.
- Company: Leading Private Equity firm focused on innovative technology solutions.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Fast-paced build environment with a focus on innovation and collaboration.
- Why this job: Lead impactful tech initiatives and shape the future of investment intelligence.
- Qualifications: Experience in AI/data platforms and strong 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 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 not only values your expertise but also encourages you to push the boundaries of AI technology in finance.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solutions Engineer: Build AI-Driven Investment Knowledge
✨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
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to data architecture and workflow automation. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of RAG, semantic search, and vector databases. Be ready to discuss how you've applied these concepts in real-world scenarios, especially in fast-paced environments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from candidates who are genuinely interested in joining our team.
We think you need these skills to ace AI Solutions Engineer: Build AI-Driven Investment Knowledge
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 detailing your technical expertise! Mention your familiarity with RAG, semantic search, and vector databases, as well as your experience with Databricks and Microsoft environments. We want to see how you can bring these skills to our team.
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 Databricks and Microsoft Environments
Since the role requires experience in these platforms, make sure you can speak confidently about your work within them. If you have any projects or achievements related to these tools, be ready to highlight them during the interview.
✨Communicate Clearly and Effectively
Strong communication skills are key for this role. Practice explaining complex technical concepts in a way that's easy to understand. This will demonstrate your ability to bridge the gap between technical and commercial teams, which is crucial in a fast-moving environment.
