At a Glance
- Tasks: Lead the design and delivery of innovative AI solutions for top-tier enterprises.
- Company: Join a pioneering company transforming analytics with cutting-edge AI technology.
- Benefits: Competitive salary, mentorship, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and development.
- 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.
What you’ll do:
- 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 Warrington employer: Space Executive
As a Lead AI Solutions Engineer, you'll join a forward-thinking company that is revolutionising the analytics landscape with cutting-edge AI technologies. Our collaborative work culture fosters innovation and personal growth, providing you with strong mentorship and technical enablement to excel in your role. With opportunities to work on high-visibility projects for industry leaders, you'll be part of a dynamic team dedicated to delivering impactful solutions that drive real business outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Solutions Engineer in Warrington
✨Tip Number 1
Network like a pro! Reach out to people in your industry, attend events, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Lead AI Solutions Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in AI solutions and architecture. We want to see how you tackle real-world problems, so don’t be shy about sharing your work during interviews.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your problem-solving skills and be ready to discuss your approach to designing scalable solutions. We recommend practising common scenarios you might face as a Lead AI Solutions Engineer.
✨Tip Number 4
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 genuinely interested in joining our team and contributing to our mission of transforming analytics workflows.
We think you need these skills to ace Lead AI Solutions Engineer in Warrington
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 with solution architecture and leadership skills, as these are key to what we’re looking for.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex business problems in the past. We want to see your structured approach to breaking down requirements and delivering solutions.
Highlight Client Collaboration Experience:Since this role involves working closely with clients, share any relevant experiences where you’ve collaborated with stakeholders. This will show us that you can effectively capture requirements and drive alignment.
Apply Through Our Website:We encourage you to submit your application 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 leverage AI solutions. This will help you articulate how your skills can translate complex business needs into actionable designs.
✨Showcase Your Leadership Skills
Be prepared to discuss your experience in 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 Problem-Solving Abilities
During the interview, be ready to tackle hypothetical scenarios that require structured problem-solving. Practice breaking down complex requirements into manageable components and outlining practical paths to execution. This will showcase your analytical mindset.
✨Engage with Technical Discussions
Brush up on your knowledge of systems design and architecture, especially around AI technologies. Be open to discussing LLMs, RAGs, and agentic workflows, even if you're not an expert. Showing enthusiasm for diving into technical discussions can set you apart from other candidates.
