Associate Director - Lead AI Architect

£90,000 to 120,000 GBP

Bonus

Hybrid WORKING

Location: Central London, Greater London - United Kingdom Type: Permanent

Associate Director - Lead AI Architect

Locations: Edinburgh, Glasgow, London, Manchester or Newcastle

Salary: Up to £120,000 + Bonus

Employment Type: Permanent

Sponsorship: Unfortunately, visa sponsorship is not available for this position.

The Opportunity

We are looking for an experiencedLead AI Architect to join a leading Technology & Transformation consultancy, working on some of the UK's most complex and high-profile Security, Justice and Public Sector programmes.

This is an opportunity for someone who wants to move beyond AI experimentation and Proof of Concepts. You will play a leading role in architecting and deliveringproduction-grade AI systems, helping clients take Generative AI and Machine Learning solutions from initial concept through to secure, scalable and operational services.

You will combine deep technical expertise with consulting, delivery and leadership experience. Working closely with senior client stakeholders and multidisciplinary engineering teams, you will translate complex business challenges into practical, robust and cost-effective AI solutions.

This is a hands-on technical leadership role, ideal for someone currently operating as aLead AI Architect, Principal AI/ML Engineer, AI Engineering Lead, Principal Architect, AI Practice Lead or similar, and looking to take the next step into an Associate Director-level position.

The Role

As Lead AI Architect, you will:

• Design end-to-end, scalable and secure AI architectures for complex enterprise and public sector environments.
• Lead the development and deployment of production-grade Generative AI and Machine Learning solutions.
• Architect systems integrating LLMs and ML models into wider enterprise applications and workflows.
• Oversee the full technical lifecycle, from solution design and model selection through to deployment, monitoring and continuous improvement.
• Design and implement robustMLOps and LLMOps practices, including CI/CD, model monitoring, evaluation and governance.
• Deploy and optimise models using cloud-based AI services such asAWS Bedrock, Azure AI Foundry and other AWS, Azure or GCP services.
• Work with self-hosted inference and model-serving technologies where appropriate, including tools such asvLLM, SGLang and Ollama.
• Design evaluation, observability and monitoring frameworks to assess model performance, system health, reliability and business impact.
• Optimise AI solutions for performance, scalability, security and cost-efficiency.
• Identify where AI can deliver genuine value and, equally importantly, recognise when a simpler engineering solution is more appropriate.
• Translate high-level client requirements into technical architectures, delivery roadmaps and actionable engineering plans.
• Identify and mitigate technical risks, including security, deployment and operational challenges.
• Lead and mentor multidisciplinary teams of AI Engineers, Machine Learning Engineers, Data Scientists and Software Engineers.
• Engage with senior stakeholders and communicate complex technical concepts to both technical and non-technical audiences.

What We're Looking For

We are looking for someone with significant experience designing and delivering enterprise-scale AI, Machine Learning and Generative AI solutions in complex environments.

You will currently work, or have recently worked, for aconsultancy or professional services organisation, with experience delivering technology solutions directly to external clients.

You should be able to demonstrate:

• Extensive experience designing, developing and deployingproduction-grade AI/ML and Generative AI solutions.
• Experience operating at a senior technical leadership level, leading engineering teams and influencing senior stakeholders.
• Strong hands-on experience withPython and modern AI/ML frameworks such asPyTorch and/or TensorFlow.
• Deep understanding ofLLMs, Generative AI, prompt engineering, RAG architectures and vector databases.
• Experience with frameworks and tooling such asLangChain, LangGraph or similar open-source AI toolkits.
• Experience fine-tuning, evaluating, deploying and monitoring large-scale AI systems.
• Strong understanding ofMLOps and/or LLMOps, including CI/CD, model deployment, monitoring, evaluation and governance.
• Experience designing AI systems with a strong focus onsecurity, responsible AI, ethical guardrails and compliance.
• Broad cloud experience acrossAWS, Azure and/or GCP, ideally including native Generative AI services.
• A strong software engineering mindset, with experience building scalable, reliable and maintainable production systems.
• Excellent stakeholder management skills and the ability to bridge the gap between business requirements and technical delivery.
• Experience working in complex and highly regulated sectors such asGovernment, Public Sector, Security, Justice, Defence, Healthcare or other similarly challenging environments.

Experience with large-scale data technologies such asSQL, Spark or Hadoop would also be beneficial.

About You

You will be a technically credible leader who is still comfortable getting into the detail.

You will understand the difference between building an impressive AI demonstration and delivering a secure, reliable system that can operate successfully in a real-world environment.

You will be comfortable working with clients, challenging requirements where necessary, shaping technical strategy and leading teams through complex delivery.

Most importantly, you will have a pragmatic approach to technology and understand that the best solution is not always the one using the most advanced AI.

What's on Offer

Salary up to£120,000

Performance-related bonus

Associate Director-level opportunity within a leading Technology & Transformation consultancyThe opportunity to lead major AI and Data programmes across Security, Justice and the wide