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- Tasks: Lead AI projects, design solutions, and guide teams to deliver impactful results.
- Company: Join causaLens, a pioneering tech firm transforming analytics with AI.
- Benefits: Enjoy 25 days holiday, share options, and a supportive work-life balance.
- Other info: Dynamic culture with mentorship and growth opportunities in a collaborative environment.
- Why this job: Make a real difference in top enterprises with cutting-edge AI technology.
- Qualifications: Strong leadership skills and experience in technical project delivery required.
The predicted salary is between 36000 - 60000 £ per year.
causaLens delivers 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, causaLens empowers teams to achieve insights 10x faster at 1/10th the cost, with guaranteed outcomes and zero overhead.
We’re looking for a Lead AI 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.
We care about our people’s lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration and a great work-life balance, we offer the following:
- 25 days of paid holiday, plus bank holidays
- Carry over/sell holiday options (up to 5 days)
- Share options
- Pension scheme
- Core life cover for all employees, equivalent to 4x your annual basic salary
- Happy hours and team outings
- Referral bonus program
- Cycle to work scheme
- Friendly tech purchases
- Benefits to choose from, including Health/Dental Insurance
- Special Discounts
- Learning and development budget
- Work abroad days
- Office snacks and drinks
Our interview process consists of screening sessions with the hiring manager and a "Day 0" which involves an approximately 3-hour in-person challenge followed by an in-person presentation and interviews. Have questions? We encourage open dialogue—reach out anytime.
If you require accommodations during the application process or in your role at causaLens, please contact us at.
Lead AI Engineer in London employer: causaLens
Contact Detail:
causaLens Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those who work at causaLens or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Prepare for the 'Day 0' challenge by brushing up on your technical skills. Dive into systems design and architecture discussions, and practice breaking down complex problems into manageable parts. This will help you shine during the in-person challenge!
✨Tip Number 3
Showcase your leadership skills! Be ready to discuss past projects where you led teams or delivered high-impact solutions. Highlight how you structured work and coordinated efforts to ensure everything ran smoothly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to get noticed and ensures your application lands directly in the right hands. Plus, we love seeing candidates who take the initiative!
We think you need these skills to ace Lead AI Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Lead AI Engineer role. Highlight your experience with solution architecture and leadership skills, as these are key to what we’re looking for at causaLens.
Showcase Your Problem-Solving Skills: We love candidates who can break down complex problems into manageable parts. Use examples from your past work to demonstrate how you've tackled challenges and delivered successful outcomes.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website: Don’t forget 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. We can’t wait to hear from you!
How to prepare for a job interview at causaLens
✨Understand the Company Culture
Before your interview, take some time to read up on causaLens' culture by checking out the articles provided. Understanding their values and how they approach problem-solving will help you align your answers with what they’re looking for.
✨Showcase Your Leadership Skills
As a Lead AI Engineer, you'll need to demonstrate your ability to lead technical projects. Prepare examples from your past experiences where you successfully coordinated teams and delivered high-quality results on time. Be ready to discuss how you structured work and managed challenges.
✨Be Ready for Technical Discussions
Brush up on your technical knowledge, especially around solution architecture and modern AI technologies. You might be asked to dive into systems design or discuss agentic workflows, so having a solid grasp of these concepts will show that you're hands-on and capable.
✨Prepare for Client-Facing Scenarios
Since the role involves collaboration with business and technical stakeholders, think of instances where you've successfully captured requirements and proposed solutions. Highlight your communication skills and how you drive alignment among different parties.