At a Glance
- Tasks: Build and support AI platforms while collaborating with engineering teams to integrate AI into workflows.
- Company: Join Vanguard, a leader in AI innovation within the financial services sector.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on continuous learning and development.
- Why this job: Be at the forefront of AI adoption and make a real impact in technology delivery.
- Qualifications: Strong software engineering skills and experience with AI/ML platforms.
The predicted salary is between 60000 - 80000 € per year.
The AI Enablement Engineer is a hands-on engineering role within the loom team, Vanguard Europe’s AI Centre of Excellence (COE) within the ITO Organisation. Loom exists to accelerate AI adoption across European technology delivery, and the AI Enablement Engineer is central to making that happen.
This role has two core dimensions:
- Enabling AI platforms and services across EU technology in partnership with enterprise teams requiring building, integrating, and supporting production AI capabilities that delivery teams consume.
- Evangelising AI and agentic engineering across the organisation by helping engineering teams adopt an AI-powered software development lifecycle (SDLC) through tooling, education, and hands-on enablement.
The AI Enablement Engineer writes code, builds AI services, creates developer tools, and works directly with engineering teams to embed AI into how they work. A supportive team of an experienced AI & Data Architect, a Product Manager, and broader Architecture & CTO leadership guide the work, but the engineer is expected to be self-motivated, curious, and comfortable working at the pace AI demands.
In this role you will:
- Build, integrate, and support production-grade AI platforms, services, and APIs for use by EU delivery teams.
- Develop AI-enabled developer tooling, agentic workflows, and SDKs that embed AI into the software development lifecycle.
- Partner directly with engineering teams to enable the adoption of AI-powered workflows through hands-on pairing, workshops, and embedded delivery support.
- Collaborate with enterprise AI, platform, security, and compliance teams to ensure AI services meet regulatory, risk, and operational standards.
- Contribute working code, proofs of concept, and reference implementations demonstrating best practices in applied AI engineering.
- Continuously evaluate emerging AI tools, frameworks, and models, and translate them into pragmatic, production-ready capabilities.
- Participate in architecture reviews, design discussions, and technical communities to shape AI adoption across Europe.
- Ensure solutions comply with information security, data protection, and risk management requirements appropriate to a financial services environment.
- Participate in special projects and perform other duties as assigned.
What It Takes:
- Strong software engineering experience with one or more modern programming languages and cloud-native development practices.
- Hands-on experience building applications or services using large language models (e.g. prompt engineering, orchestration, evaluation).
- Familiarity with AI/ML platforms, APIs, and tooling within a production engineering context.
- Experience working in cross-functional teams, partnering closely with engineers, architects, and product managers.
- Comfortable operating in an ambiguous, fast-moving environment with evolving tools and requirements.
- Strong communication skills and a willingness to teach, mentor, and evangelise new ways of working.
- Experience working in financial services or another regulated industry is desirable but not essential.
- Undergraduate degree or equivalent combination of training and experience.
Special Factors:
- Vanguard is not offering visa sponsorship for this position.
- This is a hybrid position and would require you to work in the office 3 days per week (Tuesday, Wednesday & Thursday).
AI Enablement Engineer, EU ITO (International Technology Organisation) in Manchester employer: Vanguard
Vanguard Europe is an exceptional employer, offering a dynamic work environment where innovation thrives and AI adoption is at the forefront of technology delivery. With a strong emphasis on employee growth, our collaborative culture encourages continuous learning and hands-on enablement, allowing you to work closely with experienced professionals while contributing to impactful projects in the financial services sector. Located in a vibrant European city, we provide a hybrid working model that balances office collaboration with flexibility, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Enablement Engineer, EU ITO (International Technology Organisation) in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Vanguard or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, coding samples, or any relevant work. This is your chance to demonstrate what you can bring to the table beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts simply, as you'll need to communicate effectively with cross-functional teams.
✨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.
We think you need these skills to ace AI Enablement Engineer, EU ITO (International Technology Organisation) in Manchester
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI platforms and software engineering. We want to see how your skills align with the role of AI Enablement Engineer, so don’t hold back on showcasing relevant projects!
Show Your Passion for AI:In your application, let us know why you’re excited about AI and how you’ve engaged with it in your previous roles. We love candidates who are curious and self-motivated, so share any personal projects or learning experiences that demonstrate your enthusiasm.
Highlight Collaboration Skills:Since this role involves working closely with cross-functional teams, make sure to mention your experience collaborating with engineers, architects, and product managers. We value strong communication skills, so give examples of how you've successfully partnered with others in the past.
Apply Through Our Website:We encourage you to submit your application through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets to the right people. Don’t miss out on this opportunity!
How to prepare for a job interview at Vanguard
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI platforms, services, and tools. Be ready to discuss your hands-on experience with large language models and how you've integrated AI into software development. This will show that you're not just familiar with the concepts but can actually apply them.
✨Showcase Your Coding Skills
Prepare to demonstrate your coding abilities during the interview. Bring examples of your work, such as code snippets or projects where you've built AI services or developer tools. This will help the interviewers see your practical skills in action.
✨Emphasise Collaboration
Since this role involves working closely with cross-functional teams, be ready to share examples of how you've successfully partnered with engineers, architects, and product managers in the past. Highlight your communication skills and your willingness to mentor others in adopting AI-powered workflows.
✨Be Ready for Fast-Paced Questions
Expect questions that reflect the fast-moving nature of AI technology. Prepare to discuss how you've adapted to changing requirements and tools in previous roles. Showing that you can thrive in ambiguity will set you apart from other candidates.
