At a Glance
- Tasks: Lead the development of AI capabilities and drive impactful initiatives across the organisation.
- Company: Established European firm investing heavily in AI with a global presence.
- Benefits: Competitive salary, comprehensive benefits, and hybrid work model.
- Other info: Opportunity for career growth and to promote responsible AI adoption.
- Why this job: Shape the future of AI in a dynamic environment and influence business operations.
- Qualifications: Experience in enterprise AI platforms, strong Python skills, and strategic thinking.
The predicted salary is between 80000 - 100000 £ per year.
An established European organisation with an international footprint is looking to appoint an AI Enablement Engineer to own, develop and evolve its AI capabilities. The business operates across multiple sectors and is investing heavily in AI to increase personal productivity and automate workflows.
Role
As the firm's technical AI lead, you will be responsible for designing, building, and enhancing the firm’s internal AI platform capabilities. You will partner with cross-functional teams; including Finance, Operations, Investor Relations, and Investment teams to identify business requirements and deliver scalable AI-driven solutions. This role will play a key part in driving safe and effective AI adoption across the organization, from secure platform integration through to promoting development standards and increasing AI awareness across teams. You will also help translate operational needs into reusable technical components while supporting governance aligned with security, privacy, and compliance standards.
Key Skills
- Demonstrated experience building or leading enterprise AI platforms or solutions
- Strong understanding of large language model (LLM) technologies, including commercial and open-source models
- Hands-on experience with Retrieval-Augmented Generation (RAG) frameworks and associated tooling (embedding models, vector databases, retrieval methods)
- Strong Python skills with experience working with APIs, cloud platforms, and data systems
- Experience across the full SDLC
- Understanding of enterprise governance, security, privacy, and compliance considerations
- Strategic approach focused on scalability, reliability, and reusable platform design
- Curiosity for identifying AI-driven improvements across operational processes
- Strong communication skills with the ability to explain technical concepts to non-technical audiences
- Thoughtful approach to AI governance, risk, and responsible adoption
- Opportunity to lead impactful AI initiatives within a globally recognized organization
- Ability to influence business operations and technology direction
- Competitive salary and comprehensive benefits package
Next Steps
Apply below or reach out directly isaac.salem@twentyai.com
Technical AI Lead | Private Equity Firm | Hybrid | London | TWE45657 employer: twentyAI
As a leading private equity firm based in London, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our commitment to employee growth is evident through our investment in training and development opportunities, particularly in the rapidly evolving field of AI. Join us to be part of a forward-thinking team where your contributions will directly influence the future of AI adoption across diverse sectors, all while enjoying a competitive salary and comprehensive benefits package.
StudySmarter Expert Advice🤫
We think this is how you could land Technical AI Lead | Private Equity Firm | Hybrid | London | TWE45657
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your technical skills. Make sure you can explain complex AI concepts in simple terms, as you'll need to communicate effectively with non-technical teams.
✨Tip Number 3
Showcase your projects! Whether it's a personal project or something from your previous job, having tangible examples of your work can really set you apart. Bring along any demos or case studies that highlight your experience with AI platforms.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team and contributing to our AI initiatives.
We think you need these skills to ace Technical AI Lead | Private Equity Firm | Hybrid | London | TWE45657
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Technical AI Lead. Highlight your experience with AI platforms, LLM technologies, and any relevant projects that showcase your skills in Python and cloud platforms.
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 driven AI initiatives in the past and how you can contribute to our mission of enhancing AI capabilities.
Showcase Your Communication Skills:Since you'll be working with cross-functional teams, it's crucial to demonstrate your ability to explain complex technical concepts in simple terms. Include examples in your application where you've successfully communicated with non-technical audiences.
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!
How to prepare for a job interview at twentyAI
✨Know Your AI Stuff
Make sure you brush up on your knowledge of large language models and Retrieval-Augmented Generation frameworks. Be ready to discuss your hands-on experience with these technologies, as well as how you've applied them in real-world scenarios.
✨Showcase Your Collaboration Skills
Since this role involves partnering with various teams, think of examples where you've successfully collaborated across departments. Highlight how you translated technical needs into solutions that benefited non-technical stakeholders.
✨Demonstrate Governance Awareness
Be prepared to talk about your understanding of AI governance, security, and compliance. Share specific instances where you've ensured that AI solutions adhered to these standards, showcasing your thoughtful approach to responsible AI adoption.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. The interviewers will want to see that you can bridge the gap between technical and non-technical audiences, so think of ways to make your explanations relatable and easy to understand.
