At a Glance
- Tasks: Lead the development of AI capabilities and deliver scalable AI-driven solutions.
- Company: Established European firm investing heavily in AI across multiple sectors.
- Benefits: Competitive salary, comprehensive benefits, and hybrid work model.
- Other info: Opportunity for career growth and to promote responsible AI adoption.
- Why this job: Drive impactful AI initiatives and influence technology direction in a global organisation.
- Qualifications: Experience with enterprise AI platforms, strong Python skills, and understanding of governance.
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 to isaac.salem@twentyai.com
AI Enablement Engineer | Private Equity Firm | Hybrid | London | TWE45657 employer: twentyAI
As a leading private equity firm with a strong international presence, we offer an exceptional work environment for our AI Enablement Engineer role in London. Our commitment to innovation and employee development is reflected in our collaborative culture, where you will have the opportunity to lead impactful AI initiatives and influence business operations. With a competitive salary and comprehensive benefits package, we prioritise your growth and well-being while fostering a dynamic atmosphere that embraces cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Enablement Engineer | 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 professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your AI expertise. Be ready to discuss your experience with LLM technologies and RAG frameworks, as these will be key in demonstrating your fit for the role.
✨Tip Number 3
Showcase your projects! Whether it's a personal project or something from your previous job, having tangible examples of your work with AI platforms can really set you apart. Make sure to highlight how you've driven improvements and scalability.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. 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 AI Enablement Engineer | Private Equity Firm | Hybrid | London | TWE45657
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of AI Enablement Engineer. 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 passionate about AI and how your background aligns with our mission. Be specific about your experience with AI governance and your strategic approach to scalable solutions.
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 directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
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 like Finance and Operations, be prepared to share examples of how you've successfully collaborated across departments. Highlight your ability to translate technical concepts for non-technical audiences.
✨Demonstrate Your Strategic Thinking
Think about how you can contribute to scalable and reliable AI solutions. Prepare to discuss your approach to platform design and how you ensure compliance with governance and security standards in your projects.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's AI initiatives and their vision for AI adoption. This shows your genuine interest in the role and helps you understand how you can make a meaningful impact.
