At a Glance
- Tasks: Lead the design of AI systems and mentor teams to drive impactful outcomes.
- Company: Join Kubrick, an award-winning consultancy transforming data and AI solutions.
- Benefits: Enjoy 33 days annual leave, flexible working, and unlimited mental health support.
- Other info: Diverse and inclusive workplace with excellent career development opportunities.
- Why this job: Be at the forefront of AI innovation and shape the future of technology.
- Qualifications: Strong understanding of agentic AI systems and proven design experience.
The predicted salary is between 80000 - 100000 £ per year.
The opportunity
We're looking for an AI Systems Architect who will lead agentic systems design, mentor teams, and drive real outcomes for leading clients.
About Kubrick
Kubrick is an award-winning consultancy that helps organizations design, build and scale data and AI solutions that deliver lasting impact. We work with organizations across industries including financial services, healthcare, retail, energy, aviation, and the public sector, and partner with leading technology providers such as Microsoft, Snowflake, Databricks, and Collibra. What sets us apart is how we build capabilities and careers. Through continuous learning, real-world experience, and a collaborative culture, we help our people develop the skills, confidence, and experience to build rewarding careers.
What you’ll be doing
As an AI Systems Architect you will join our Core Engineering Practice to act as the technical authority of an emerging specialism in designing and delivering AI systems, as well as developing internal IP and establishing Kubrick as a thought leader in this fast-moving space. You will support the Platform Engineering Capability Lead in incubating this specialism with a view to establishing it as a Core Capability and be an advocate for agentic systems more broadly within the business to ensure their potential and commercial applications are well understood. The AI Systems Architect will be Kubrick’s subject matter expert for agentic systems and provide support and guidance to junior team members as necessary to ensure they are successful on their client engagements. Key to the role will be supporting our Solution Leads and client team in solution design and pre‑sales activities, in addition to working with our partner team to build credibility in relation to agentic systems development with partners.
What we’re looking for
- Strong understanding of agentic AI systems including LLM orchestration, tool use, memory patterns, planning and reasoning loops, and multi‑agent coordination.
- Proven experience in designing and developing agentic systems for production environments, including autonomous agents, multi‑agent coordination, and decision‑making frameworks.
- Detailed knowledge of the Software Development Lifecycle & best practices.
- Familiarity with agentic platforms and frameworks (Foundry, LangChain, AutoGen, CrewAI, or custom orchestration stacks).
- Systems Thinking: Ability to architect complex, distributed systems that integrate AI components with enterprise data platforms and APIs, ensuring compliance with scalability, reliability, security, cost and ethical AI design considerations.
- Ability to code in Python and (Desirable) utilise Infrastructure as Code to deploy cloud‑based infrastructure.
- (Desirable) Proven experience developing and deploying MS Copilot Agents as part of the delivery of business‑facing solutions.
- Demonstrable experience providing technical leadership for engineering teams on AI‑oriented projects, ideally in a consultancy environment.
- Ability to communicate technical concepts to non‑technical audiences and influence decision‑making at senior levels.
- Strong understanding of regulatory, ethical, accuracy and security considerations for developing autonomous agentic systems.
- (Desirable): Degree, Masters or Doctorate in Software Engineering, Computer Science or ML/AI related subject.
We don’t expect you to tick every box. If you’re excited about the role and believe you have the potential to succeed, we’d still love to hear from you.
Benefits
- 33 days annual leave (25 days annual leave plus 8 public holidays).
- Pension matching up to 5%.
- Unlimited mental health support.
- Enhanced paid family leave.
- Additional family leave support, including fertility treatment leave and dependent care leave.
- Financial wellbeing support.
- Cycle to Work scheme.
- Specsavers eye care vouchers.
- Flexible working options.
- Internal mobility and career development opportunities.
- Recognition and reward programs.
- Learning and development opportunities, including professional certifications.
- Employee Assistance Program (EAP).
- Mental health, diversity and inclusion support.
Diversity & inclusion
We're committed to building a more diverse and inclusive tech industry and encourage applications from people currently underrepresented in data and AI, including women, people from underrepresented racial and ethnic backgrounds, LGBTQ+ people, people with disabilities, and people who are neurodivergent. If you need any adjustments during the recruitment process, just let us know. We're here to support you.
AI Systems Architect - Associate Director in London employer: Kubrick
At Kubrick, we pride ourselves on being an exceptional employer, offering a collaborative culture that fosters continuous learning and professional growth. As an AI Systems Architect, you will not only lead innovative projects but also mentor emerging talent, all while enjoying generous benefits such as 33 days of annual leave, flexible working options, and comprehensive mental health support. Our commitment to diversity and inclusion ensures a welcoming environment where every employee can thrive and contribute to impactful AI solutions across various industries.
StudySmarter Expert Advice🤫
We think this is how you could land AI Systems Architect - Associate Director in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI systems architecture. This could be anything from personal projects to contributions to open-source. It’s a great way to demonstrate your expertise and passion.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI systems. Think about how you can articulate your experience with agentic systems and your approach to problem-solving. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us at Kubrick. Plus, it shows you’re genuinely interested in being part of our team.
We think you need these skills to ace AI Systems Architect - Associate Director in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI systems shine through! We want to see how excited you are about the role and the impact you can make. Share any relevant projects or experiences that highlight your passion.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to match the job description. Highlight your experience with agentic systems and any relevant technologies. We love seeing how your skills align with what we’re looking for!
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to explain your experience and skills. We appreciate a well-structured application that makes it easy for us to see why you’d be a great fit.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at Kubrick.
How to prepare for a job interview at Kubrick
✨Know Your Agentic Systems
Make sure you brush up on your understanding of agentic AI systems, especially LLM orchestration and multi-agent coordination. Be ready to discuss your past experiences designing these systems and how they can be applied in real-world scenarios.
✨Showcase Your Technical Leadership
Prepare examples that highlight your experience providing technical leadership in engineering teams. Think about specific projects where you influenced decision-making and drove successful outcomes, especially in a consultancy environment.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to demonstrate your ability to communicate effectively with non-technical audiences, so think of ways to break down your ideas without losing the essence.
✨Be Ready for Ethical Discussions
Familiarise yourself with the regulatory and ethical considerations surrounding autonomous agentic systems. Be prepared to discuss how you ensure compliance with these standards in your work, as this is crucial for the role.
