At a Glance
- Tasks: Design and deploy cutting-edge AI solutions that tackle real business challenges.
- Company: Join a forward-thinking AI consultancy leading the Generative AI revolution.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Fast-paced environment with opportunities for leadership and mentorship.
- Why this job: Make a tangible impact with innovative AI technology while collaborating with clients.
- Qualifications: Experience in software engineering, particularly with Python and SQL.
The predicted salary is between 60000 - 80000 € per year.
Competitive Salary London or Edinburgh (hybrid working)
Build and deploy enterprise-grade Generative AI solutions
Work directly with clients on high-impact AI transformation programmes
Fast-paced, high-growth environment focused on applied AI innovation
This is an opportunity to join a forward-thinking AI consultancy at the forefront of Generative AI, helping organisations unlock real commercial advantage through cutting-edge technology. As an Applied AI Solutions Engineer, you will sit at the intersection of engineering, consulting, and innovation, designing, building, and deploying production-ready AI solutions that solve complex business challenges. Working in small, high-performing teams, you’ll collaborate directly with clients to develop impactful applications, including intelligent agents built on large language models. This role is hands-on and client-facing, ideal for engineers who enjoy both technical depth and business engagement. As you grow, you’ll take ownership of end-to-end solutions, influence AI strategy, and step into technical leadership responsibilities.
Key Responsibilities
- Design, build, and deploy production-grade AI solutions, including LLM-powered applications and agent-based systems, using Python, SQL and modern data technologies
- Architect scalable systems such as microservices and data pipelines, ensuring performance, reliability, and maintainability in enterprise environments
- Own end-to-end solution delivery, from initial design through to deployment, testing, and continuous optimisation
- Apply strong analytical problem-solving to translate complex business challenges into practical, high-impact AI solutions
- Work directly with clients to gather requirements, shape AI strategies, and clearly communicate complex technical concepts in a business-friendly way
- Act as a trusted advisor to stakeholders, linking AI solutions to measurable business outcomes such as efficiency, cost reduction, or revenue growth
- Lead and mentor engineers within delivery teams, contributing to technical direction, best practices, and team capability development
- Collaborate cross-functionally with technical and non-technical stakeholders to deliver integrated, user-focused AI solutions
- Ensure high standards of quality assurance, testing, and system performance across all deployed AI solutions
- Stay at the forefront of AI and machine learning advancements, rapidly adopting new tools, frameworks, and approaches
- Operate effectively in a fast-paced, evolving environment with a high degree of autonomy and adaptability
- Promote responsible AI practices, ensuring solutions are designed with strong consideration for data privacy, ethics, bias mitigation, and compliance
- Support successful client adoption through training, documentation, and ongoing optimisation of deployed solutions
Applied AI Solutions Engineer employer: Experis
Join a pioneering AI consultancy that champions innovation and collaboration in the heart of London or Edinburgh. With a competitive salary and hybrid working options, we foster a dynamic work culture where engineers thrive on impactful projects, enjoy continuous professional development, and take ownership of cutting-edge AI solutions. Our commitment to employee growth, coupled with a focus on responsible AI practices, makes us an exceptional employer for those seeking meaningful and rewarding careers in applied AI.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Solutions Engineer
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI field. Attend meetups, webinars, or industry events to meet potential employers and learn about job openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Generative AI. This will give you an edge when chatting with clients or hiring managers about your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and business concepts. Be ready to discuss how your AI solutions can drive measurable outcomes for businesses, as this is key in client-facing roles.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are passionate about AI. Your next big opportunity could be just a click away!
We think you need these skills to ace Applied AI Solutions Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Applied AI Solutions Engineer role. Highlight your experience with Python, SQL, and any relevant AI projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for this role. Don’t forget to mention your client-facing experience and how you’ve tackled complex problems in the past.
Showcase Your Projects:If you've worked on any AI solutions or relevant projects, make sure to include them in your application. We love seeing real-world examples of your work, especially if they demonstrate your ability to design and deploy production-grade solutions.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Experis
✨Know Your AI Stuff
Make sure you brush up on the latest trends in Generative AI and machine learning. Be ready to discuss specific technologies like Python, SQL, and how they apply to building scalable AI solutions. Showing that you’re up-to-date will impress your interviewers!
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex business challenges with AI solutions in the past. Think about specific projects where you designed, built, or deployed AI applications. This will demonstrate your analytical skills and ability to deliver high-impact results.
✨Communicate Like a Pro
Since this role involves working directly with clients, practice explaining technical concepts in a way that's easy for non-technical stakeholders to understand. Use clear, concise language and be ready to link your solutions to measurable business outcomes like efficiency or cost reduction.
✨Be Ready to Lead
As you'll eventually take on technical leadership responsibilities, think about how you can mentor others and contribute to team development. Prepare to discuss your leadership style and how you’ve influenced AI strategies in previous roles. This shows you're not just a techie but also a team player!
