At a Glance
- Tasks: Design and build AI solutions, ensuring quality and scalability across innovative projects.
- Company: Join RSM UK, a leading firm in audit, tax, and consulting with a focus on innovation.
- Benefits: Enjoy hybrid working, 26 days holiday, and access to over 300 professional development courses.
- Other info: Dynamic environment with opportunities for career growth and mentorship.
- 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.
We are searching for an experienced AI Software Engineer. Make an Impact at RSM UK. RSM is one of the world's largest networks of audit, tax and consulting firms, delivering big ideas and premium service to help middle‑market businesses thrive. As part of its bold ambition to lead in innovation and transformation, RSM has established the AI Lab – a strategic team driving the responsible adoption of AI across the firm. The 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.
Responsibilities:
- 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.
Qualifications:
- 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.
Benefits:
- 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 inhouse Talent Development team
Permanent, LONDON, Other Business Support Services.
AI Software Engineer in London employer: RSM UK
At RSM UK, we pride ourselves on being an exceptional employer, particularly for the AI Software Engineer role within our innovative AI Lab. Our commitment to employee growth is evident through our extensive training programmes and a collaborative work culture that encourages creativity and technical excellence. With flexible working arrangements, generous holiday allowances, and a focus on wellbeing, we provide a supportive environment where you can thrive while making a meaningful impact in the world of AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Software Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at RSM or in the AI field on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your AI projects or contributions. We want to see your coding prowess and how you tackle real-world problems, so make it shine!
✨Tip Number 3
Ace the interview! Research common AI Software Engineer interview questions and practice your answers. We need to demonstrate our technical knowledge and problem-solving skills confidently.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find elsewhere.
We think you need these skills to ace AI Software Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the AI Software Engineer role. Highlight your experience with AI solutions, system design, and any relevant programming languages like Python and SQL.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our AI Lab. Be sure to mention specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills:When filling out your application, don’t shy away from detailing your technical skills. Mention your experience with enterprise AI platforms and any coding standards you've helped maintain. We love seeing your engineering depth!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at RSM UK
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI platforms like Copilot Studio and Azure AI Foundry. Be ready to discuss your experience with designing and delivering AI solutions, as well as any architectural decisions you've made in the past.
✨Show Off Your Coding Skills
Prepare to demonstrate your programming prowess, especially in Python and SQL. You might be asked to solve a coding problem or explain your approach to building scalable AI solutions, so practice articulating your thought process clearly.
✨Understand System Design
Familiarise yourself with system design principles and integration patterns. Be prepared to discuss how you would approach feasibility assessments for new AI initiatives and how your choices impact maintainability in the long run.
✨Communicate Like a Pro
Strong communication skills are key! Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with both technical and non-technical team members. Don't hesitate to share your ideas and raise concerns during discussions.