At a Glance
- Tasks: Lead the transformation of investment data into scalable AI solutions.
- Company: A top Private Equity firm with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Fast-paced environment with exciting technology initiatives.
- Why this job: Make a real impact by developing cutting-edge AI technologies.
- Qualifications: Experience in AI/data platforms and strong communication skills.
The predicted salary is between 60000 - 80000 € 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 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
✨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!
✨Tip Number 2
Showcase your skills! Create a portfolio or a GitHub repository that highlights your projects related to AI solutions and data platforms. This gives potential employers a tangible look at what you can do.
✨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! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace AI Solutions Engineer - Private Equity TWE45657
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 the job description.
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 transformed data into actionable insights and your experience in fast-paced environments.
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.
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 updates!
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 and technical prowess.
✨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 like private equity.
✨Communicate Clearly
Since strong commercial and technical communication skills are key, practice explaining complex concepts in simple terms. You might be asked to translate investment workflows into practical AI solutions, so clarity is crucial.
✨Be Ready for Hands-On Questions
Expect practical questions that assess your ability to build and operationalise AI solutions. Prepare to discuss your experience with Databricks and Microsoft environments, and think about how you can contribute to the evolution of their internal information infrastructure.
