At a Glance
- Tasks: Lead the delivery of an innovative AI platform for commercial lending transformation.
- Company: Join a forward-thinking bank focused on AI and technology innovation.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving AI adoption across multiple domains.
- Why this job: Make a significant impact in the banking sector with cutting-edge AI solutions.
- Qualifications: Proven experience in AI platforms and strong leadership skills required.
The predicted salary is between 74295 - 90805 £ per year.
Join us as a Commercial Lending AI Platform Lead, Director. Lead the delivery of a major commercial lending transformation, building an innovative agentic AI platform that will support lending and wider bank technology needs over the next 3 to 4 years.
Own the end-to-end strategy, design, architecture, and execution of AI platforms across lending, ensuring they meet business, technology, and customer requirements. Provide leadership and accountability for platform change, operations, risk, security, resilience, service management, and lifecycle management, driving simplification, stability, and efficiency across the AI estate.
In this high-impact role, you will lead the strategic vision and roadmap for the Commercial Lending AI Platform, ensuring alignment with business priorities, technology strategy and emerging AI innovation.
You will own the architecture and engineering strategy for Matrix and the wider AI platform ecosystem, establishing scalable, secure and resilient capabilities that accelerate AI adoption across Lending. You will be responsible for designing and delivering enterprise-grade agentic AI platform capabilities, including orchestration frameworks, agent lifecycle management, model and tool integration, retrieval architectures, governance controls, observability and operational controls.
Driving engineering excellence will be a key focus, embedding modern software engineering practices, automation, reliability engineering and operational excellence at scale. Working closely with senior business stakeholders, product owners, architects and engineering leaders, you will translate business outcomes into scalable technology solutions.
You will oversee the full platform lifecycle, from design and implementation through to operations, risk management and continuous improvement, while embedding a strong culture of security and responsible AI.
You'll also be:
- Optimising the scheduling and sequencing of initiatives to achieve delivery, platform adoption, engineering quality, risk and cost objectives.
- Leading multidisciplinary engineering, platform and architecture teams responsible for critical AI services and capabilities.
- Ensuring the stability, availability, performance and resilience of AI platforms, infrastructure and tooling.
- Aligning technology solutions to customer needs, business outcomes and enterprise strategy, while promoting simplification, standardisation and reuse.
- Establishing reusable platform services, standards, frameworks and engineering patterns to support AI delivery across multiple domains.
- Owning the platform's financial, commercial and operational performance, proactively driving improvements.
- Representing the platform and technology strategy at executive forums, influencing senior stakeholders across business, technology, risk and architecture communities.
The skills you'll need:
This role is not a traditional AI product, delivery, or data science leadership position. We are looking for a proven technology leader with significant experience delivering large-scale AI, platform or cloud-native solutions in complex enterprise environments.
You will bring deep expertise in platform architecture, modern engineering practices and agentic AI technologies, with a track record of building scalable, secure and resilient platforms that support multiple teams and business domains. The ideal candidate will combine strong technical and architectural leadership with commercial acumen, stakeholder management expertise and experience operating in regulated environments.
You will bring deep technical credibility and hands-on experience delivering agentic AI platforms into production, with a proven track record of enabling organisations to adopt and scale AI safely, securely and effectively at enterprise scale.
You will have successfully delivered complex transformation programmes, managed risk and governance requirements, and be passionate about using AI innovation to drive long-term business value and competitive advantage.
You'll also be expected to have:
- Experience establishing AI platform operating models, engineering standards, governance frameworks and reusable technology capabilities.
- Strong knowledge of enterprise AI, machine learning and agentic AI technologies, including their application in large-scale production environments.
- Hands-on experience delivering AI platforms that support model serving, agent orchestration, observability, evaluation, governance and operational management.
- Expertise in leading large, complex technology programmes spanning multiple teams, disciplines and governance forums.
- Strong operational, risk, financial management, collaboration and negotiation skills.
- The ability to operate credibly as both a senior technology executive and a hands-on technical leader.
Hours: 35
Job Posting Closing Date: 16/10/2026
Ways of Working: Remote First
Location: London
Type: Full time
Commercial Lending AI Platform Lead in Vauxhall employer: NatWest Group
As a Principal Engineer in Economic Crime Services, you will thrive in a dynamic and innovative work culture that prioritises customer experience and engineering excellence. Our commitment to employee growth is evident through opportunities for senior stakeholder engagement and leadership development, all while working in a hybrid environment that promotes flexibility and collaboration. Join us to be part of a forward-thinking team dedicated to tackling economic crime with cutting-edge technology and solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Commercial Lending AI Platform Lead in Vauxhall
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at NatWest Group or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to NatWest Group.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like NatWest Group.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like NatWest Group that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Commercial Lending AI Platform Lead in Vauxhall
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at NatWest Group.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at NatWest Group and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at NatWest Group
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If NatWest Group uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
