Senior AI Software Engineer

Senior AI Software Engineer

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Hays

At a Glance

  • Tasks: Design and build AI solutions, ensuring quality and scalability in a collaborative environment.
  • Company: Join a leading AI Lab focused on innovation and engineering excellence.
  • Benefits: Flexible working, 26 days holiday, health perks, and access to 300+ development courses.
  • Other info: Opportunity for career growth in a dynamic, hybrid work environment.
  • Why this job: Make a real impact in AI while growing your skills in a supportive team.
  • Qualifications: Experience in AI solutions, strong programming skills, and a passion for quality engineering.

The predicted salary is between 60000 - 80000 £ per year.

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 will 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 a 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 inhouse Talent Development team

Senior AI Software Engineer employer: Hays

At RSM, we pride ourselves on being an exceptional employer that values innovation and collaboration within our AI Lab. Our flexible working arrangements, comprehensive benefits package, and commitment to employee development create a supportive environment where you can thrive as a Senior AI Software Engineer. With access to over 300 courses and a culture that encourages knowledge sharing and mentorship, you'll have the opportunity to grow your skills while making a meaningful impact on cutting-edge AI solutions.

Hays

Contact Details:

Hays Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Software Engineer

Tip Number 1

Network like a pro! Reach out to folks in the AI field, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects or contributions. Whether it's GitHub repos or a personal website, let your work speak for itself and demonstrate your hands-on experience.

Tip Number 3

Prepare for interviews by diving deep into the company’s tech stack and recent projects. Tailor your responses to highlight how your experience aligns with their needs, especially around system design and AI solutions.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our team!

We think you need these skills to ace Senior AI Software Engineer

System Design
Feasibility Assessments
Technical Evaluation
Enterprise Integration Patterns
Automation Frameworks
Architectural Patterns
Scalability Models

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior 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 team. Share specific examples of projects you've worked on that demonstrate your engineering depth and commitment to quality.

Showcase Your Technical Skills:When applying, don’t forget to mention your familiarity with enterprise AI platforms like Copilot Studio or Azure AI Foundry. We want to see how you’ve applied your technical knowledge in real-world scenarios, so be specific!

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 gives you a chance to explore more about what we do at StudySmarter!

How to prepare for a job interview at Hays

Know Your AI Tools

Familiarise yourself with the specific AI platforms mentioned in the job description, like Copilot Studio and Azure AI Foundry. Be ready to discuss your experience with these tools or similar ones, and how you've used them to design and deliver AI solutions.

Showcase Your System Design Skills

Prepare to talk about your past experiences in system design and architectural decisions. Think of examples where you evaluated technical approaches, identified risks, and shaped solution directions. This will demonstrate your systems thinking and commitment to quality.

Communicate Clearly

Practice explaining complex technical concepts in simple terms. You might be asked to produce technical documentation or architectural diagrams, so being able to communicate effectively with both technical and non-technical audiences is key.

Be Ready for Technical Reviews

Expect to participate in discussions about code and design reviews. Prepare to give constructive feedback and share your thoughts on engineering rigor. This shows that you're not just a hands-on engineer but also a collaborative team player who values quality.