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 mentorship and technical leadership.
- Why this job: Make a tangible impact by transforming businesses with innovative AI technology.
- Qualifications: Experience in software engineering, particularly with Python and SQL.
The predicted salary is between 60000 - 80000 € per year.
Key Points
- 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
Overview
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 in London 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 building impactful AI solutions while directly engaging with clients. Our commitment to employee growth is evident through opportunities for technical leadership and mentorship, ensuring you can shape your career in a fast-paced environment dedicated to applied AI excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Solutions Engineer in London
✨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 LLMs or microservices. This will give you an edge when discussing your experience with clients and employers.
✨Tip Number 3
Practice your pitch! Be ready to explain complex AI concepts in simple terms. When you’re in interviews or networking situations, being able to communicate effectively can really set you apart.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a better chance of landing that dream role.
We think you need these skills to ace Applied AI Solutions Engineer in London
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 applied AI and how your background makes you a great fit for this role. Don’t forget to mention your client-facing experience and problem-solving skills – we love that!
Showcase Your Projects:If you've worked on any AI solutions or relevant projects, make sure to include them in your application. We’re interested in seeing how you’ve tackled complex challenges and delivered impactful results. Visuals or links to your work can really help us understand your capabilities!
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. Plus, it shows us you’re serious about joining our innovative team at StudySmarter!
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, frameworks, and your hands-on experience with Python and SQL. This will show that you're not just familiar with the theory but can also apply it practically.
✨Understand the Business Side
Since this role involves working directly with clients, it's crucial to understand how AI solutions can drive business outcomes. Prepare examples of how you've translated complex technical concepts into business-friendly language and how your solutions have led to measurable improvements.
✨Showcase Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios or case studies during the interview. Think about how you would approach a complex business challenge using AI. Highlight your analytical skills and how you've successfully delivered end-to-end solutions in the past.
✨Demonstrate Team Collaboration
This role requires working in small, high-performing teams, so be prepared to discuss your experience collaborating with both technical and non-technical stakeholders. Share examples of how you've mentored others or contributed to team success, as this will show your leadership potential.
