At a Glance
- Tasks: Lead the evolution of AI solutions for investment data and decision-making.
- Company: A top Private Equity firm with a focus on innovation.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Join a high-performing team and make a real difference in technology initiatives.
- Why this job: Transform data into impactful AI solutions in a fast-paced environment.
- Qualifications: Experience in AI platforms, data architecture, and strong communication skills.
The predicted salary is between 70000 - 90000 € 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 - Private Equity TWE45657 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 London-based team enjoys a hybrid working model, competitive benefits, and ample opportunities for professional growth, all while contributing to cutting-edge AI solutions that enhance decision-making across the organisation. Join us to be part of a collaborative environment where your expertise in AI can truly make an impact.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solutions Engineer - Private Equity TWE45657 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the private equity space, especially those who work with AI solutions. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've built any AI/data platforms or have experience with RAG and semantic search, make sure to highlight these in conversations. Real-world examples can set you apart from the crowd.
✨Tip Number 3
Prepare for the fast-paced environment! Brush up on your ability to adapt and thrive in build-phase settings. Share stories of how you've successfully navigated similar challenges in the past.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Solutions Engineer - Private Equity TWE45657 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 the perfect fit for this role. Share specific examples of how you've successfully implemented AI solutions in fast-paced environments, and don’t forget to mention your understanding of RAG and semantic search!
Showcase Your Technical Skills:We want to see your technical prowess! Be sure to include any experience you have with Databricks, Microsoft environments, and vector databases. This is your chance to shine, so don’t hold back!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can’t wait to hear from you!
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 tackled them, especially in fast-moving environments.
✨Communicate Clearly
Since strong commercial and technical communication skills are key, practice explaining complex concepts in simple terms. This will help demonstrate your ability to translate investment workflows into practical AI solutions during the interview.
✨Be Ready for Technical Questions
Expect questions that dive deep into your experience with Databricks and Microsoft environments. Brush up on relevant tools and be prepared to discuss how you've operationalised unstructured information in past projects.
