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- Tasks: Lead AI projects, consult with clients, and develop bespoke AI solutions.
- Company: Dynamic tech services organisation focused on AI innovation.
- Benefits: Competitive salary, flexible working, and opportunities for career progression.
- Why this job: Shape the future of AI while making a real impact in businesses.
- Qualifications: Experience in AI concepts, project management, and client consultation.
- Other info: Join a growing team with a focus on operational efficiency and innovation.
The predicted salary is between 60000 - 80000 £ per year.
A growing technology services organisation is seeking a commercially minded AI Solutions Engineer to pioneer bespoke AI modelling and automation initiatives. This is a true end-to-end, client-facing role. You will not simply build to specification, you will sit directly with internal stakeholders and external clients, uncover operational inefficiencies, architect intelligent AI solutions, and deliver scalable automation that drives measurable ROI. The focus is on translating manual operational drag into intelligent, AI-powered workflows.
Key Responsibilities
- Client Discovery & Consultation
- Lead discovery sessions with clients and internal teams.
- Map business workflows and identify bottlenecks.
- Translate operational challenges into AI-led solutions.
- Identify hidden inefficiencies, manual handoffs, and data silos.
- Quantify automation impact in terms of time savings, cost reduction, and scalability.
- Design, build, and deploy custom AI agents aligned to specific business use cases.
- Develop intelligent workflows that automate complex, multi-step tasks.
- Architect and orchestrate multi-agent systems capable of autonomous workflow execution.
- Work across leading LLM ecosystems (e.g. OpenAI, Anthropic, Google Gemini).
- Select the appropriate model based on performance, risk, and business requirements.
- Integrate AI agents into wider automation and business platforms, ensuring seamless adoption into existing systems.
Candidate Profile
- Able to translate complex AI concepts into clear, business-focused language.
- ROI-driven with a strong operational efficiency mindset.
- Capable of owning projects end-to-end — from first discussion to deployment.
- Strong understanding of AI APIs, prompting logic, and agentic frameworks (e.g. LangChain, AutoGen, CrewAI or similar).
- Highly motivated, commercially aware, and eager to build something meaningful.
This is an opportunity to shape AI capability within a growing organisation and have direct commercial impact. The role offers significant scope for progression as AI capability scales.
Artificial Intelligence Engineer in London employer: Set2Recruit
Contact Detail:
Set2Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in London
✨Tip Number 1
Get to know the company inside out! Research their projects, values, and culture. This will help you tailor your conversations and show that you're genuinely interested in what they do.
✨Tip Number 2
Practice your pitch! Be ready to explain how your skills can solve their specific challenges. Use examples from your past experiences to demonstrate your problem-solving abilities.
✨Tip Number 3
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and even referrals that might just land you the job.
✨Tip Number 4
Don’t forget to follow up! After interviews or networking chats, send a quick thank-you note. It shows your enthusiasm and keeps you fresh in their minds as they make decisions.
We think you need these skills to ace Artificial Intelligence Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of an AI Solutions Engineer. Highlight your experience with AI technologies, client-facing roles, and any projects where you've improved operational efficiency. 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 tell us why you're passionate about AI and how your skills align with our mission. Be sure to mention specific examples of how you've tackled challenges in previous roles, especially those that relate to automation and client consultation.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—show us how you've used them to solve real-world problems. Whether it's through case studies or project descriptions, we want to see your thought process and how you approach complex challenges.
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 upload all your documents in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at Set2Recruit
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies and frameworks mentioned in the job description, like LangChain or AutoGen. Be ready to discuss how you've used these tools in past projects and how they can solve real business problems.
✨Client-Facing Skills Matter
Since this role is client-facing, practice articulating complex AI concepts in simple terms. Think about examples where you've successfully communicated technical ideas to non-technical stakeholders, as this will show your ability to bridge the gap between tech and business.
✨Showcase Your Problem-Solving Mindset
Prepare to discuss specific instances where you've identified inefficiencies and implemented AI solutions that drove measurable ROI. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Be Ready for Technical Questions
Expect some technical questions about AI APIs and workflow integration. Brush up on your knowledge of how to architect multi-agent systems and be prepared to explain your thought process when selecting models based on performance and business needs.