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- Tasks: Build and integrate AI platforms while collaborating with engineering teams to enhance workflows.
- Company: Join Vanguard, a revolutionary investment company focused on client interests.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with a commitment to diversity and inclusion.
- Why this job: Make a real impact in AI adoption and shape the future of technology.
- Qualifications: Strong software engineering skills and experience with large language models.
The predicted salary is between 60000 - 80000 ÂŁ 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.
This is not a strategy or advisory role. 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. You will be supported by an experienced AI & Data Architect who provides architectural direction, a Product Manager who coordinates delivery priorities, and the broader Architecture & CTO leadership team, but you are expected to be self-motivated, curious, and comfortable working at the pace AI demands.
The ideal candidate brings solid software engineering foundations with emerging AI / large language model experience and a genuine enthusiasm for the space. You do not need to be a deep AI specialist, but you do need to have built something real with large language models and be excited about building more.
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).
Vanguard is a different kind of investment company. It was founded in the United States in 1975 on a simple but revolutionary idea: that an investment company should manage its funds solely in the interests of its clients. This is a philosophy that has helped millions of people around the world to achieve their goals with low-cost, uncomplicated investments.
Vanguard’s continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: “Do the right thing.” We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve.
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection.
AI Enablement Engineer, EU ITO (International Technology Organisation) in Manchester employer: The Vanguard Group
Contact Detail:
The Vanguard Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Enablement Engineer, EU ITO (International Technology Organisation) in Manchester
✨Tip Number 1
Get your hands dirty! Dive into coding and building AI services. The more you can showcase your practical skills, the better. Remember, this role is all about hands-on engineering, so don’t shy away from demonstrating what you can do.
✨Tip Number 2
Network like a pro! Connect with folks in the industry, especially those already working in AI or tech roles. Attend meetups, webinars, or even online forums to share ideas and learn from others. It’s all about who you know and how you can collaborate!
✨Tip Number 3
Show your enthusiasm for AI! When you get the chance to chat with potential employers, let your passion shine through. Talk about projects you've worked on, tools you love, and how you see AI evolving. They want to see that spark!
✨Tip Number 4
Apply through our website! We’re always on the lookout for talent that fits our culture and values. Don’t just send your CV; make sure to highlight your hands-on experience and how you can contribute to our mission of accelerating AI adoption.
We think you need these skills to ace AI Enablement Engineer, EU ITO (International Technology Organisation) in Manchester
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI shine through! Talk about any projects you've worked on with large language models or AI tools. We love seeing candidates who are genuinely excited about the tech they work with.
Be Specific About Your Skills: Make sure to highlight your software engineering experience and any hands-on work you've done with AI platforms. Use examples that demonstrate your ability to build and integrate AI services. We want to see what you can bring to the table!
Tailor Your Application: Don’t just send a generic application. Take the time to tailor your CV and cover letter to the role of AI Enablement Engineer. Mention how your skills align with our mission at Vanguard and how you can contribute to our AI Centre of Excellence.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re serious about joining our team!
How to prepare for a job interview at The Vanguard Group
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI platforms and large language models. Be ready to discuss any hands-on projects you've worked on, especially those involving prompt engineering or building AI services. This role is all about practical application, so show them what you've built!
✨Show Your Coding Skills
Since this position requires solid software engineering experience, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss your approach to building production-grade applications. Practice coding challenges beforehand to keep your skills sharp.
✨Communicate Clearly
Strong communication skills are key for this role, especially when it comes to teaching and mentoring others. During the interview, practice explaining complex concepts in simple terms. This will show that you can effectively share your knowledge with cross-functional teams.
✨Embrace the Fast-Paced Environment
This role demands adaptability and a proactive mindset. Be ready to discuss how you've thrived in ambiguous situations or fast-moving environments in the past. Share examples of how you've quickly learned new tools or adapted to changing requirements in your previous roles.