Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and deployment of cutting-edge AI systems for enterprise automation.
- Company: Join a forward-thinking tech company shaping the future of AI.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and make a real impact in the industry.
- Qualifications: Proven leadership in AI or software engineering with strong technical skills.
- Other info: Dynamic role with excellent career advancement opportunities.
The predicted salary is between 48000 - 72000 £ per year.
An opportunity for a Lead Engineer to shape the next generation of agentic AI systems that automate and optimize enterprise operations. The role focuses on architecting intelligent agents, driving innovation in AI-driven workflows, and leading cross-functional teams to deliver scalable, production-grade solutions.
Responsibilities:
- Lead the design, build, and deployment of agentic AI systems for enterprise-scale automation.
- Design and implement cloud-native systems that support autonomous workflows and intelligent decision-making.
- Develop and integrate AI models for predictive insights and intelligent recommendations.
- Connect AI agents with core enterprise systems and data platforms.
- Define technical standards, reusable patterns, and governance principles.
- Ensure reliability, observability, and performance across AI solutions.
- Mentor engineering teams and foster best practices in design, DevOps, and model lifecycle management.
- Collaborate with data scientists, product managers, and architects to align solutions with business outcomes.
- Stay ahead of emerging AI and automation trends to guide technical strategy.
Requirements:
- Proven experience leading AI or software engineering teams in complex enterprise environments.
- Strong technical background in AI/ML, automation, and cloud-native architectures.
- Skilled in Python or similar languages, with experience across modern data and ML platforms.
- Familiar with cloud environments and workflow orchestration tools.
- Strong understanding of integration patterns and scalable system design.
- Excellent communication and leadership skills, with the ability to influence technical direction.
Desirable:
- Experience in computer vision, IoT, or multi-agent systems.
- Knowledge of observability and monitoring frameworks for AI operations.
Apply now for immediate consideration. No sponsorship available; applicants must have the right to work in the UK.
Lead AI Engineer employer: Nicoll Curtin
Contact Detail:
Nicoll Curtin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI systems and automation. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership skills. Be ready to discuss how you've led teams and tackled complex problems in AI. Practice common interview questions to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and aspirations. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Lead AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead AI Engineer role. Highlight your experience in AI/ML, cloud-native architectures, and any leadership roles you've held. We want to see how you can shape the future of agentic AI systems!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at StudySmarter. Don’t forget to mention specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills: In your application, be sure to highlight your technical prowess, especially in Python and cloud environments. We’re looking for someone who can lead the design and deployment of intelligent systems, so let us know how you’ve done this in the past!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, we love seeing applications come through our own platform!
How to prepare for a job interview at Nicoll Curtin
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning concepts. Be ready to discuss your experience with cloud-native architectures and how you've implemented intelligent agents in past projects. This will show that you’re not just familiar with the theory but have practical experience too.
✨Showcase Your Leadership Skills
As a Lead AI Engineer, you'll need to demonstrate your ability to lead teams effectively. Prepare examples of how you've mentored others, driven innovation, and influenced technical direction in previous roles. Highlighting your leadership style can set you apart from other candidates.
✨Prepare for Technical Questions
Expect to face some tough technical questions during the interview. Brush up on Python or any relevant programming languages, and be ready to discuss integration patterns and scalable system design. Practising coding challenges can also help you feel more confident.
✨Align with Business Outcomes
Understand how your work as an AI engineer can impact business outcomes. Be prepared to discuss how you've aligned technical solutions with business needs in the past. This shows that you think beyond just the tech and understand the bigger picture.
