At a Glance
- Tasks: Lead the development of AI capabilities and enhance internal platforms.
- 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 LLM technologies.
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
Join a forward-thinking private equity firm in London that prioritises innovation and employee development. As an AI Enablement Engineer, you will thrive in a collaborative work culture that values your expertise while offering competitive salaries and a comprehensive benefits package. This role not only allows you to lead impactful AI initiatives but also provides ample opportunities for professional growth within a globally recognised organisation committed to responsible AI adoption.
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, especially those working in AI or at the firm you're eyeing. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or contributions to AI platforms, make sure to highlight them. Share links or even create a quick presentation to showcase your expertise when you get the chance.
✨Tip Number 3
Prepare for the technical grill! Brush up on your Python skills and be ready to discuss LLM technologies and RAG frameworks. Practising common interview questions can help you feel more confident when it’s time to shine.
✨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 take the initiative to engage with us directly.
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-driven solutions and how you can contribute to our team's success.
Showcase Your Technical Skills:Don’t shy away from detailing your hands-on experience with RAG frameworks and APIs. We want to see your technical prowess, so include examples of how you've applied these skills in real-world scenarios.
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 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. During the interview, discuss your approach to designing reusable platform components and how you ensure compliance with governance and security standards.
✨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 within the organisation.
