At a Glance
- Tasks: Design and deliver innovative AI solutions for complex business challenges.
- Company: Fast-growing AI company transforming industries with cutting-edge technology.
- Benefits: Competitive salary, autonomy in decision-making, and opportunities for career progression.
- Other info: Collaborative environment with strong support from technical peers.
- Why this job: Make a real impact on world-leading enterprises with your technical expertise.
- Qualifications: Experience in solution delivery and leading technical teams.
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
- Structuring complex initiatives into executable delivery plans
- 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
Lead AI Solutions Engineer 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
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at DeepRec.ai or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to DeepRec.ai.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like DeepRec.ai.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like DeepRec.ai that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Lead AI Solutions Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at DeepRec.ai.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at DeepRec.ai and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at DeepRec.ai
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If DeepRec.ai uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
