At a Glance
- Tasks: Design and deliver innovative AI solutions for major organisations.
- Company: Fast-growing AI company transforming complex business challenges.
- Benefits: Competitive salary, autonomy in decision-making, and career progression support.
- Other info: Join a dynamic team with strong technical peers and growth opportunities.
- Why this job: Make a real impact on cutting-edge AI systems used by top enterprises.
- Qualifications: Experience in technical consulting, solution delivery, and team leadership.
The predicted salary is between 36000 - 60000 £ per year.
I am working with a high growth AI company that is building and delivering production grade AI and automation systems for large, complex organisations. They are looking to hire a Lead AI Solutions Engineer to play a central role in how solutions are designed, structured, and delivered. This position sits at the point where business problems become real systems. The Lead AI Solutions Engineer will work directly with clients, define solution architecture, and guide delivery teams from concept through to implementation. It is well suited to someone who enjoys bringing structure to ambiguity, owning technical direction, and staying close to execution.
What the role involves:
- Working with client stakeholders to understand business challenges and translate them into clear technical architectures
- Designing scalable, well‑documented AI and automation solutions
- Leading and coordinating engineers through build and rollout
- Acting as the technical anchor across solution design, delivery, and client communication
What they are looking for:
- Hands‑on experience in solution delivery, technical consulting, or architecture‑focused roles
- A strong track record of turning unclear requirements into structured, shippable solutions
- Experience leading or coordinating technical teams and delivery workstreams
- Confidence working directly with clients and senior stakeholders
- Nice to have experience with AI or ML systems, LLMs, or agent‑based workflows
Why is this interesting:
- Exposure to meaningful AI systems used by world‑leading enterprises
- High autonomy in technical and delivery decisions
- Strong technical peers and clear support for progression
- Real influence over how AI solutions are designed and delivered
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Engineering and Information Technology
Industries: Technology, Information and Media
Lead AI Solutions Engineer in England employer: DeepRec.ai
At DeepRec.ai, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. Our commitment to employee growth is evident through our focus on cutting-edge AI technologies and the opportunity to lead transformative projects that have a real impact on the future of science. With competitive compensation, a supportive environment, and the chance to work alongside industry leaders, we provide a unique platform for engineers passionate about making a difference in the world of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Solutions Engineer in England
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech space, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a project that highlights your experience with AI solutions. This is your chance to demonstrate how you turn business challenges into structured, shippable solutions.
✨Tip Number 3
Prepare for interviews by understanding the company’s products and challenges. Be ready to discuss how you can lead technical teams and communicate effectively with clients. We want to see your problem-solving skills in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Lead AI Solutions Engineer in England
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Lead AI Solutions Engineer role. Highlight your experience in solution delivery and technical consulting, and don’t forget to mention any hands-on work with AI or ML systems!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've turned ambiguous requirements into structured solutions. We love seeing candidates who can bring clarity to complex challenges, so share those success stories!
Highlight Team Leadership Experience:Since this role involves leading and coordinating engineers, be sure to emphasise any experience you have in managing teams or projects. We want to see how you’ve guided others through the delivery process.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at DeepRec.ai
✨Understand the Business Challenges
Before your interview, take some time to research the company and its clients. Understand the types of business challenges they face and think about how you can translate those into technical architectures. This will show that you’re not just technically savvy but also understand the bigger picture.
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience in solution delivery and architecture-focused roles. Bring examples of past projects where you turned unclear requirements into structured solutions. This will demonstrate your ability to lead and coordinate teams effectively.
✨Communicate Clearly with Stakeholders
Since this role involves direct client interaction, practice articulating complex technical concepts in a way that’s easy for non-technical stakeholders to understand. Use clear, concise language and be ready to answer questions about your approach to client communication.
✨Emphasise Your Leadership Skills
Highlight any experience you have in leading technical teams or coordinating delivery workstreams. Share specific instances where you guided a team through a project, focusing on how you managed ambiguity and ensured successful execution.
