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- 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.
- Why this job: Make a real impact on world-leading enterprises with your technical expertise.
- Qualifications: Experience in solution delivery and leading technical teams.
- Other info: Collaborative environment with strong support from technical peers.
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
Contact Detail:
DeepRec.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Solutions Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Showcase your skills! Create a portfolio or a GitHub repository with projects that highlight your experience in AI solutions. This gives potential employers a tangible look at what you can do, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by understanding the company’s products and challenges. Tailor your responses to show how your experience aligns with their needs. We want to see you shine as the perfect fit for the Lead AI Solutions Engineer role!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Lead AI Solutions Engineer
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: We want to see how you tackle ambiguity! Use examples from your past experiences where you've turned unclear requirements into structured solutions. This will show us that you can bring clarity to complex challenges.
Highlight Leadership Experience: Since this role involves leading and coordinating teams, make sure to emphasise any previous leadership roles you've had. Share specific instances where you guided a team through a project from concept to implementation.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at DeepRec.ai
✨Understand the Business Challenges
Before the interview, take some time to research the company and its clients. Understand the types of business challenges they face and think about how your skills can address these issues. This will help you articulate your thoughts clearly when discussing how to translate business problems into technical architectures.
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with solution delivery and architecture. Bring examples of past projects where you turned unclear requirements into structured solutions. Highlight your experience with AI or ML systems if applicable, as this will resonate well with the interviewers.
✨Demonstrate Leadership Skills
Since the role involves leading and coordinating teams, be ready to share instances where you've successfully led a project or team. Discuss your approach to managing ambiguity and how you ensure that everyone stays aligned and focused on execution.
✨Engage with Client Scenarios
Prepare for potential scenario-based questions where you might need to interact with clients or stakeholders. Think about how you would communicate complex technical concepts in a way that's easy for non-technical people to understand. This will show your confidence and ability to act as a technical anchor during client communications.
