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- Tasks: Join our AI Engineering team to design and deliver innovative AI solutions.
- Company: Dynamic tech company focused on AI with a collaborative culture.
- Benefits: Up to ÂŁ66,000 salary, 25 days leave, health cash plan, and pension.
- Other info: Remote work available, diverse and inclusive workplace.
- Why this job: Shape the future of AI while mentoring others and making a real impact.
- Qualifications: Strong AI knowledge, programming skills in Python, and experience with AI frameworks.
The predicted salary is between 66000 - 66000 ÂŁ per year.
Do you want to be part of a growing AI Engineering team where you can shape solutions, experiment with new ideas and help others grow along the way? As a Senior AI Engineer, you’ll play a key role within our Data and AI Practice, contributing to the design, development and delivery of AI‑powered solutions for a range of secure and high‑impact clients. You’ll work closely with other engineers, architects and stakeholders, getting involved from the early stages of projects through to delivery. This is a hands‑on engineering role, offering plenty of variety, from proof of concepts through to production‑ready solutions.
What you’ll be doing:
- Contributing to the development and delivery of AI solutions and AI agents, ensuring outcomes meet time, cost and quality expectations.
- Designing, building and improving autonomous and conversational agents using modern AI and agent‑based architectures.
- Applying robust engineering practices to reduce technical risk and manage technical debt in AI and agent‑based systems.
- Exploring and applying emerging AI technologies, frameworks and best practices to deliver innovative solutions.
- Supporting the deployment of scalable and reliable AI solutions using cloud‑native engineering approaches.
- Sharing knowledge, mentoring colleagues and contributing positively to the wider AI Engineering community.
What you’ll bring:
- A strong understanding of AI, machine learning and agent‑based AI concepts, including Retrieval Augmented Generation (RAG), multi‑agent systems and conversational agents.
- Experience developing AI solutions using programming languages such as Python, or similar languages used in AI engineering.
- Hands‑on experience with AI and agent frameworks such as Microsoft Copilot, Copilot Studio, Autogen Agents, Amazon Q, LangChain, LangGraph or similar platforms.
- The ability to analyse, evaluate and optimise agent behaviour and AI system performance.
- Experience delivering solutions using cloud platforms and cloud‑native delivery techniques.
- Experience measuring, validating and proving the effectiveness of AI systems in real‑world environments.
It would be great if you had:
- Exposure to low‑code or no‑code automation and orchestration tools used alongside AI solutions.
- Experience working in secure or regulated environments.
Employment Details:
- Employment Type: Full‑time, Permanent.
- Location: Anywhere in the UK.
- Security Clearance Level: SC Eligible.
- Salary: up to ÂŁ66,000.
- Benefits: 25 days annual leave with the choice to buy additional days, health cash plan, life assurance, and pension.
We welcome applications from people with a diverse variety of backgrounds and identities. We remain committed to equality of opportunity for all and do not discriminate on the basis of race, religion, colour, gender, age, disability, sexual orientation or marital status. If you require any adjustments to the recruitment process, to enable you to perform to the best of your ability, please let us know when completing your application. We participate in the Disability Confident scheme and are committed to offering an interview to any candidate with a disability who meets the minimum criteria for the role. If you believe this could apply to you, please let us know when completing your application.
Senior AI Engineer in England employer: Sopra Steria
Contact Detail:
Sopra Steria Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, experiments, and any cool solutions you've developed. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. Practice explaining your thought process and how you tackle challenges, as this will help you stand out during technical interviews.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates who are eager to join our growing team.
We think you need these skills to ace Senior AI Engineer in England
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI and machine learning. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Technical Skills: When detailing your experience, focus on the programming languages and frameworks you've worked with, like Python or Microsoft Copilot. We love seeing hands-on experience, so include specific examples of AI solutions you've developed.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see your qualifications and how you can contribute to our team.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Sopra Steria
✨Know Your AI Stuff
Make sure you brush up on your understanding of AI, machine learning, and agent-based concepts. Be ready to discuss specific technologies like Retrieval Augmented Generation and frameworks such as Microsoft Copilot or LangChain. Showing that you’re well-versed in these areas will definitely impress the interviewers.
✨Showcase Your Hands-On Experience
Prepare to share examples of your hands-on experience with AI solutions. Whether it’s a project where you developed an autonomous agent or optimised system performance, having concrete examples will help demonstrate your skills and how you can contribute to their team.
✨Be Ready for Technical Questions
Expect some technical questions that dive deep into your engineering practices. Brush up on cloud-native delivery techniques and be prepared to discuss how you manage technical debt in AI systems. This is your chance to show off your problem-solving skills!
✨Emphasise Collaboration and Mentorship
Since this role involves working closely with other engineers and mentoring colleagues, be sure to highlight your teamwork and leadership experiences. Share instances where you’ve helped others grow or contributed positively to a team environment, as this aligns perfectly with what they’re looking for.