At a Glance
- Tasks: Govern AI across the Group, assess tools, and design innovative AI operating models.
- Company: Prestigious financial services group based in the city.
- Benefits: Flexible engagement options, competitive salary, and direct access to senior stakeholders.
- Other info: Inclusive hiring; we welcome diverse applicants who meet most criteria.
- Why this job: Shape the future of AI governance and make a real impact in a dynamic environment.
- Qualifications: 3-5 years in AI/ML, strong communication skills, and a relevant degree.
The predicted salary is between 81000 - 99000 £ per year.
Responsible AI Engineer is sought by a prestigious city-based financial services group to support the Head of Responsible AI. This is a Group-wide role that covers every business line using AI tools. In this role you’ll govern all AI across the Group, from third-party tools to internal models and AI agents, and you’ll help design how the firm adopts AI for years to come. This is an engineering role first and a governance role second. We’re looking for someone who understands how AI systems are built and how they behave. If you’re an AI or ML engineer curious about moving into governance, we’d like to hear from you. Governance experience is a bonus, and it can be learned on the job.
What you’ll be doing:
- Running Responsible AI assessments on AI tools, models, vendors and use cases, with a strong focus on Generative AI and AI agents.
- Reading solution designs and technical architectures, then working through findings directly with the business.
- Helping design and run cross-functional workshops for a new AI target operating model, which covers end-to-end intake, delivery and ongoing management of AI use cases.
- Training business teams and Group functions to run their own assessments as the process is rolled out across the firm.
- Carrying out third-party AI vendor due diligence and helping define risk-based controls for GenAI and agents.
- Maintaining the AI inventory, risk classifications and governance records.
- Preparing committee papers, senior management presentations and reporting.
- Tracking regulation, including the EU AI Act and emerging financial services expectations.
What you’ll bring:
- At least 3 to 5 years of hands-on experience working with AI or machine learning, as part of a broader, substantial career.
- A relevant degree, ideally a postgraduate or master’s qualification in AI, ML or a closely related field (Computer Science considered).
- Deep, current knowledge of Generative AI and AI agents.
- A practical, delivery-focused approach. You’ll need to apply AI knowledge to real systems, not just theory.
- A good grasp of risk concepts, plus the confidence to work with minimal supervision and coordinate parts of a larger programme.
- Excellent communication skills, including explaining technical concepts clearly to non-technical colleagues and delivering training.
- Some coding ability is useful for in-house evaluations, but you don’t need to be a hardcore developer.
Why this role:
- Real influence: you’ll shape a Group-wide AI operating model from the ground up, not slot into a mature process.
- Direct access to the Head of Responsible AI and senior stakeholders across Technology, Risk, Legal and Compliance.
- A permanent London headcount has been approved, so there’s a realistic route to a permanent role for the right person.
- Flexible engagement: a 6-month FTC or a day-rate contract inside IR35.
- We’re committed to inclusive hiring. If you meet most of the criteria but not every point, we’d still love to hear from you.
AI Engineer employer: ARC IT Recruitment
As a leading Tier 1 main contractor based in Cambridge, we pride ourselves on fostering a dynamic work culture that prioritises employee growth and development. Our commitment to delivering high-value commercial construction projects not only ensures job satisfaction but also offers competitive salaries and comprehensive packages, making us an excellent employer for those seeking meaningful and rewarding careers in the construction industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨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 ARC IT Recruitment 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 ARC IT Recruitment.
✨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 ARC IT Recruitment.
✨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 ARC IT Recruitment 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 AI Engineer
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 ARC IT Recruitment.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at ARC IT Recruitment 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 ARC IT Recruitment
✨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 ARC IT Recruitment 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.
