At a Glance
- Tasks: Design and build AI solutions, ensuring quality and scalability across innovative projects.
- Company: Join RSM, a leading global network in audit, tax, and consulting.
- Benefits: Enjoy flexible working, 26 days holiday, and access to 300+ professional courses.
- Other info: Be part of a diverse team that values inclusion and personal growth.
- Why this job: Make a real impact in the AI Lab and shape the future of technology.
- Qualifications: Experience in AI solutions, strong programming skills, and a collaborative mindset.
The predicted salary is between 60000 - 80000 € per year.
As one of the world’s largest networks of audit, tax and consulting firms, RSM delivers big ideas and premium service to help middle‑market businesses thrive. We are a fast‑growing firm with big ambitions – we have a clear goal to become the premium adviser to the middle market, globally. This vision touches everything we do, motivating and inspiring us to become better every day. If you are looking for a firm where you can build a future and make an impact, then RSM is the place for you.
Make an Impact at RSM UK. RSM has established the AI Lab – a strategic team driving the responsible adoption of AI across the firm. The Senior AI Software Engineer is a core technical role within the AI Lab. This person helps design and build the foundation that AI solutions are built on — bringing engineering depth, an eye for systems thinking, and a commitment to quality that raises the bar for the whole team.
You’ll make an impact by:
- Contributing to system design and feasibility assessments for new AI initiatives, helping evaluate technical approaches, surface risks, and shape solution direction ahead of development.
- Helping maintain and evolve development and coding standards across the Lab, ensuring AI work produced by the firm is consistent, clean, and built to last.
- Implementing enterprise integration patterns that connect AI solutions to RSM's wider technology ecosystem in a secure and scalable way.
- Building and maintaining automation frameworks that improve the speed and reliability of development, testing, and deployment.
- Applying appropriate architectural patterns and scalability models when designing solutions, with an awareness of how choices made today affect maintainability tomorrow.
- Participating in technical reviews, offering constructive input on designs and code produced by peers and contributing to a culture of engineering rigour.
- Designing and developing AI solutions end‑to‑end across the Lab's core platforms — Copilot Studio, Azure AI Foundry, Intellixcore, and more — from initial design through to production delivery.
- Producing clear technical documentation, architectural diagrams, and reusable assets that help the wider team build confidently and consistently.
- Supporting junior engineers and graduates with day‑to‑day technical guidance, code review, and practical problem‑solving.
What we are looking for:
The ideal candidate is a capable, hands‑on engineer with a growing interest in how AI systems are designed and structured at scale — someone who takes quality seriously and brings considered thinking to every build. Key attributes include:
- Solid experience designing and delivering AI or data‑driven solutions in a professional context, with involvement in architectural or system‑level decisions.
- Working knowledge of enterprise AI platforms — ideally Copilot Studio, Azure AI Foundry, or Intellixcore — or equivalent cloud and AI tooling, with the ability to get up to speed quickly.
- A good grounding in software engineering principles including system design, API and integration patterns, and security fundamentals.
- Solid programming skills, with practical experience in Python and SQL used in AI and data engineering contexts; comfortable working across both code‑first and low‑code platforms.
- Comfortable working within governance or compliance‑aware environments, understanding the importance of building responsibly without losing momentum.
- Ability to produce technical documentation and diagrams that are accessible to both engineering colleagues and non‑technical audiences.
- Strong communication and collaboration skills, with the confidence to raise technical concerns, contribute to design discussions, and support teammates effectively.
What we can offer you:
We recognise that our people are our most important assets. That’s why we offer a flexible reward and benefits package that will help you have fulfilling experience, both in and out of work.
- Hybrid and Flexible working
- 26 Days Holiday (with the option of purchasing additional days)
- Lifestyle, Health, and Wellbeing including financial wellbeing benefits such as financial tools, electric car scheme and access to a virtual GP
- Access to a suite of 300+ courses on demand developed by our in‑house Talent Development team
Diversity and Inclusion at RSM: At RSM, we want to create a strong sense of belonging so that people of all identities, backgrounds, and cultures feel they can bring their true self to work. Our clients come from all walks of life. We aim to achieve that same diversity of background, experience and perspective in our own teams, so that we can genuinely understand our client's needs. Diverse teams bring a broader range of ideas and insights to work. That's why we're working together to ensure our firm's principles and processes support a firm culture that embraces difference and strengthens inclusion.
Senior AI Software Engineer in London employer: RSM UK
RSM is an exceptional employer that prioritises the growth and well-being of its employees, offering a flexible working environment and a comprehensive benefits package that includes 26 days of holiday and access to over 300 professional development courses. The company fosters a culture of innovation and collaboration within its AI Lab, empowering Senior AI Software Engineers to make a significant impact while supporting their career advancement in a diverse and inclusive setting.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Software Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at RSM. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or some projects that highlight your AI expertise, make sure to share them during interviews. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical discussions! Brush up on system design and coding standards, as these are key in the role. Being able to discuss your thought process will impress the interviewers.
✨Tip Number 4
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 being part of the RSM team.
We think you need these skills to ace Senior AI Software Engineer in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior AI Software Engineer role. Highlight your experience with AI systems and software engineering principles, as this will show us you’re a great fit for our team.
Showcase Your Projects:Include specific examples of AI or data-driven solutions you've designed or delivered. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements!
Keep It Clear and Concise:When writing your application, aim for clarity. Use straightforward language and avoid jargon where possible. This helps us understand your experience and skills without getting lost in technical terms.
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 and shows us you’re serious about joining our team at RSM.
How to prepare for a job interview at RSM UK
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems and the specific platforms mentioned in the job description, like Copilot Studio and Azure AI Foundry. Be ready to discuss your past experiences with AI or data-driven solutions and how they relate to the role.
✨Showcase Your Coding Skills
Prepare to demonstrate your programming skills, especially in Python and SQL. You might be asked to solve a coding problem or explain your approach to building scalable solutions, so practice articulating your thought process clearly.
✨Understand System Design
Familiarise yourself with system design principles and enterprise integration patterns. Be prepared to discuss how you've contributed to architectural decisions in previous roles and how you ensure quality and maintainability in your work.
✨Communicate Effectively
Strong communication is key! Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with both technical and non-technical team members. Be ready to share examples of how you've supported junior engineers or contributed to team discussions.