AI Systems Architect - Associate Director

Kubrick; Greater London; On-site; GBP 110,000 - 180,000; Full time

Benefits offered by this job

33 days annual leave

Pension matching up to 5%

Mental health support

Enhanced paid family leave

Cycle to Work scheme

Flexible working options

Career development opportunities

Job summary

Kubrick is seeking an AI Systems Architect to lead the design of agentic AI systems and mentor engineering teams. You will help establish Kubrick as a thought leader in this space and drive client outcomes.

You will partner with Platform Engineering and Solution Leads to shape solutions, develop internal IP, and ensure scalable, ethical, and secure deployments across industries.

Qualifications

• Strong understanding of agentic AI systems and related frameworks.
• Experience designing production-ready agentic systems.
• Knowledge of SDLC and best practices.
• Familiarity with agentic platforms and frameworks listed.
• Systems thinking for large, distributed AI-enabled architectures.
• Proficiency in Python; familiarity with IaC for cloud deployments.
• Experience with MS Copilot Agents is a plus.
• Technical leadership experience in consultancy settings.
• Ability to communicate complex tech to non-technical stakeholders.
• Awareness of regulatory, ethical, security considerations.

Responsibilities

• Lead design and delivery of agentic AI systems for clients.
• Mentor engineering teams and develop internal IP.
• Support solution leads in pre‑sales and solution design.
• Collaborate with partners to build credibility in agentic systems.

Skills

Agentic AI systems

LLM orchestration

Tool use

Memory patterns

Planning and reasoning loops

Multi-agent coordination

Python coding

Infrastructure as Code

MS Copilot Agents

Technical leadership

Regulatory and ethical security

Tools

Foundry

LangChain

AutoGen

CrewAI

custom orchestration stacks

Job description

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

Benefits

• 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.

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