At a Glance
- Tasks: Lead the design and delivery of innovative AI solutions for top-tier enterprises.
- Company: Join a cutting-edge company transforming analytics with AI technology.
- Benefits: Competitive salary, mentorship, and opportunities for professional growth.
- Other info: Dynamic role with hands-on technical challenges and collaboration with industry leaders.
- Why this job: Make a real impact by solving complex business problems with AI.
- Qualifications: Strong leadership skills and experience in technical project delivery.
The predicted salary is between 80000 - 100000 £ per year.
We deliver digital workers for analytics & data science, transforming the way enterprises automate complex analytics workflows. Our AI agents act as always-on digital workers, eliminating the need for fragmented tools, consultants, and seat licenses. Trusted by industry leaders like Cisco, Johnson & Johnson, and Canon, we empower teams to achieve insights 10x faster at 1/10th the cost, with guaranteed outcomes and zero overhead.
We’re looking for a Lead AI Solutions Engineer who is passionate about helping world-leading enterprises design and deliver scalable, well-structured solutions to real business problems. You’ll work on impactful, high-visibility projects — defining architectures, creating solution specs, and leading technical delivery to ensure successful outcomes. You’ll serve as a hands-on tech lead: breaking projects into executable units and guiding teams through delivery.
Requirements:- Strong solution architecture mindset: Ability to translate complex or ambiguous business needs into clear, actionable designs and specifications.
- Leadership and delivery skills: Experience leading technical projects end-to-end — structuring work, coordinating engineers, and ensuring on-time, high-quality delivery.
- Structured problem-solving: Skilled at understanding customer requirements, breaking them into components, and defining practical paths to execution.
- Client-facing collaboration: Experienced working directly with business and technical stakeholders to capture requirements, propose solutions, and drive alignment.
- Hands-on technical understanding: Comfortable diving into systems design and architecture discussions; experience with LLMs, RAGs, MCPs, or agentic workflows is a plus but not required.
- Collaborate directly with top-tier enterprises to understand needs, design, and deploy bespoke agentic workflows.
- Design and document robust solution architectures that leverage modern AI technologies.
- Lead the delivery of high-impact solutions from concept to deployment — breaking projects into components, assigning work, and guiding engineers through implementation.
- Collaborate with the tech team to deliver impactful solutions and continue building your technical expertise.
We offer strong technical enablement and mentorship to help you grow in the role.
Lead AI Solutions Engineer in Bolton employer: Space Executive
As a Lead AI Solutions Engineer, you will join a forward-thinking company that prioritises innovation and employee development. With a strong emphasis on collaboration and mentorship, we provide an environment where your technical skills can flourish while working on high-impact projects for industry leaders. Our culture fosters creativity and problem-solving, ensuring that you not only contribute to transformative solutions but also grow alongside a team dedicated to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Solutions Engineer in Bolton
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects and solutions. This gives potential employers a taste of what you can do, especially for a role like Lead AI Solutions Engineer.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to solution architecture and project delivery. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead AI Solutions Engineer in Bolton
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with solution architecture and technical delivery. We want to see how your skills align with the role of Lead AI Solutions Engineer, so don’t hold back!
Showcase Your Leadership Skills:In your application, emphasise any past experiences where you’ve led projects or teams. We’re looking for someone who can guide others through complex tasks, so share examples that demonstrate your leadership and delivery skills.
Be Clear and Concise:When writing your application, clarity is key! Break down your experiences and achievements into digestible points. We appreciate straightforward communication, especially when it comes to complex topics like AI solutions.
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’s super easy!
How to prepare for a job interview at Space Executive
✨Understand the Business Needs
Before your interview, take some time to research the company and its clients. Understand their business model and how they use AI solutions. This will help you articulate how your skills can translate complex needs into actionable designs.
✨Showcase Your Leadership Skills
Be prepared to discuss your experience leading technical projects. Think of specific examples where you structured work, coordinated teams, and ensured high-quality delivery. Highlighting these experiences will demonstrate your capability as a hands-on tech lead.
✨Demonstrate Structured Problem-Solving
Practice breaking down complex problems into manageable components. During the interview, be ready to walk through your thought process on how you would approach a real-world scenario. This shows your structured problem-solving mindset.
✨Engage in Technical Discussions
Brush up on your technical knowledge, especially around systems design and architecture. Be ready to dive into discussions about LLMs, RAGs, or agentic workflows. Showing comfort in these areas will highlight your hands-on technical understanding.
