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- Tasks: Design and deliver innovative AI systems while mentoring junior team members.
- Company: Join Kubrick, a leader in data and AI solutions with a collaborative culture.
- Benefits: Enjoy competitive salary, hybrid work, upskilling opportunities, and 25 days annual leave.
- Why this job: Make a real impact in the fast-evolving AI landscape and shape future technologies.
- Qualifications: Experience in AI systems architecture and strong Python coding skills required.
- Other info: Diverse and inclusive workplace committed to bridging the skills gap in tech.
The predicted salary is between 36000 - 60000 ÂŁ per year.
AI Systems Architect
Employment type: Permanent
Location: London/Kubrick HQ (QVS). Client engagements predominantly London & Southeast. (May require client site visits)
Transform lives through data and AI.
Who we are:
We deliver powerful data & AI solutions that drive real business impact fast. Our diverse teams of expert consultants don’t just implement change; they embed it, ensuring lasting adoption and future‑ready workforces. Trusted by leading organisations and powered by top technology partners, we transform data into smarter decisions across every industry.
As a senior member, you will contribute to both delivery and the development of Kubrick’s consulting capabilities and internal teams, while also working closely with our partner ecosystem.
The Role:
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.
Technical Leadership
- 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 (e.g. MS 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.
Qualifications
- 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.
Benefits
- Competitive salary and bonus.
- Hybrid, friendly and collaborative working environment.
- Access to upskilling opportunities and clear progression path.
- 25 days of annual leave.
- Highstreet discounts and Wellness Hub with confidential well‑being and mental health support.
- Cycle to work scheme & eye‑care vouchers.
Commitment to Diversity, Equity and Inclusion (DEI)
At Kubrick, we not only strive to bridge the skills‑gap in data and technology, but we are also committed to playing a key role in improving diversity in the industry. To that effect, we welcome candidates from all backgrounds, and particularly encourage applications from groups currently underrepresented in the industry, including women, people from black and ethnic minority backgrounds, LGBTQ+ people, people with disability and those who are neurodivergent. We know that potential applicants are sometimes put off if they don’t meet 100% of the requirements. We think individual experience, skills and passion make all the difference, so if you meet a good proportion of the criteria, we’d love to hear from you. We are committed to ensuring that all candidates have an equally positive experience, and equal chances for success regardless of any personal characteristics. Please speak to us if we can support you with any adjustments to our recruitment process.
AD - AI Systems Architect employer: Kubrick
Contact Detail:
Kubrick Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AD - AI Systems Architect
✨Tip Number 1
Network like a pro! Reach out to folks 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, especially those related to AI systems and Python. This gives you a chance to demonstrate your expertise and makes you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI systems architecture. Think about how you can articulate your experience with agentic systems and decision-making frameworks clearly and confidently.
✨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, it shows you’re genuinely interested in joining our team at Kubrick.
We think you need these skills to ace AD - AI Systems Architect
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI systems and Python. We want to see how your skills align with the role of an AI Systems Architect, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Skills: When detailing your experience, focus on your understanding of agentic AI systems and any hands-on work you've done with multi-agent coordination or decision-making frameworks. We love seeing concrete examples of your technical prowess!
Communicate Clearly: Remember, you’ll need to explain complex concepts to non-technical folks too! Use clear, straightforward language in your application to demonstrate your ability to bridge the gap between tech and business.
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 this exciting opportunity at Kubrick!
How to prepare for a job interview at Kubrick
✨Know Your AI Systems Inside Out
Make sure you have a solid understanding of agentic AI systems, especially LLM orchestration and multi-agent coordination. Brush up on your knowledge of relevant platforms like MS Foundry or LangChain, as being able to discuss these in detail will show your expertise.
✨Showcase Your Python Skills
Since coding in Python is essential for this role, be prepared to demonstrate your coding abilities. You might even want to practice some coding challenges beforehand to ensure you're sharp and ready to tackle any technical questions that come your way.
✨Communicate Like a Pro
You’ll need to explain complex technical concepts to non-technical audiences, so practice simplifying your explanations. Think about how you can convey your ideas clearly and concisely, as this will be crucial in influencing decision-making at senior levels.
✨Prepare for Ethical Discussions
Given the focus on ethical AI design, be ready to discuss regulatory and ethical considerations in developing autonomous systems. Having examples or case studies in mind can help illustrate your points and show that you’re not just technically savvy but also aware of the broader implications of your work.