AI Systems Architect – Associate Director

AI Systems Architect – Associate Director

Full-Time 75600 - 92400 £ / year (est.) Home office (partial)
Women in Data®

At a Glance

  • Tasks: Lead the design of AI systems and mentor teams to drive impactful outcomes.
  • Company: Join an award-winning consultancy transforming data and AI solutions across various industries.
  • 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 make a real difference in diverse sectors.
  • Qualifications: Strong understanding of agentic AI systems and proven experience in system design.

The predicted salary is between 75600 - 92400 £ per year.

Locations: London

Remote status: Hybrid

Employment type: Full-time

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

We're 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 include:

  • 33 days annual leave (25 days annual leave plus 8 public holidays)
  • Pension matching up to 5%
  • Unlimited mental health support through Help@Hand
  • 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.

Women in Data® advertise roles on behalf of our partners, alliances, and members. We are proud supporters of Women in Data. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.

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AI Systems Architect – Associate Director employer: Women in Data®

Women in Data® is an exceptional employer that champions diversity and innovation within the tech industry. With a strong commitment to employee growth, you will benefit from generous annual leave, ongoing development opportunities, and a collaborative work culture that values mentorship and technical excellence. Join us in a role that not only enhances your career but also contributes to meaningful initiatives in data and machine learning.

Women in Data®

Contact Details:

Women in Data® Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Systems Architect – Associate Director

Join Local Tech Meetups

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We think you need these skills to ace AI Systems Architect – Associate Director

Agentic AI Systems Design
LLM Orchestration
Tool Use
Memory Patterns
Planning and Reasoning Loops
Multi-Agent Coordination
Decision-Making Frameworks

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Women in Data®.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Women in Data® and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Women in Data®

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Women in Data® uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.