Associate Director Lead AI Architect

If your skills, experience, and qualifications match those in this job overview, do not delay your application.
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 experienced Lead 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 delivering production-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 a Lead 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. xwwtmva
• Oversee the full technical lifecycle, from solution design and model selection through to deployment, monitoring and continuous improvement.
• Design and implement robust MLOps and LLMOps practices, including CI/CD, model monitoring, evaluation an
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