Lead AI Solutions Architect

Experis UK; Greater London; Hybrid; GBP 83,000 - 138,000; Full time

Job summary

Experis UK is seeking a Lead AI Solutions Architect for a 6-month contract in London. The role is hybrid and focuses on designing scalable AI solutions and Target Operating Models for government programmes, ensuring ethical and secure delivery.

You will architect enterprise AI frameworks, develop operating models, comply with standards, and mentor cross-government teams while delivering hands-on AI solutions.

Qualifications

• Experience scaling AI solutions in regulated environments.
• Deep knowledge of AI/ML lifecycle, governance and ethics.
• Hands-on with AWS Bedrock, Azure AI Foundry, and Google Vertex.
• Familiarity with Agentic AI frameworks and risk-based AI assurance.
• Knowledge of DPIAs and data protection.
• Excellent communication with senior stakeholders.

Responsibilities

• Architect enterprise-level AI frameworks and solutions.
• Design Target Operating Models for AI integration.
• Ensure compliance with government standards and security protocols.
• Collaborate with senior stakeholders to align AI strategy with business goals.
• Contribute to reusable architecture patterns and uplift capabilities.
• Mentor teams and support cross-government alignment.

Skills

AI architecture

Stakeholder management

Regulated environments

Ethical AI

AI governance

Communication skills

Doer mindset

Tools

AWS Bedrock

Azure AI Foundry

Google Vertex

Job description

6 Month initial contract (Hybrid/London)

Up to 750 per day Inside IR35

Government client

Overview

We are seeking a highly experienced Lead AI Solutions Architect to spearhead the design and implementation of scalable AI solutions and develop Target Operating Models (TOMs) that align with strategic goals. This role is pivotal in accelerating the adoption of transformative AI tools across government departments, ensuring ethical, secure, and impactful delivery.

Key Responsibilities

• Architect enterprise-level AI frameworks and solutions.
• Design and implement Target Operating Models for AI integration.
• Ensure compliance with government standards and security protocols.
• Collaborate with senior stakeholders to align AI strategy with business goals.
• Contribute to reusable architecture patterns and internal capability uplift.
• Mentor teams and support cross-government alignment of AI initiatives.

Required Experience & Skills

• Proven experience scaling AI solutions in complex, regulated environments.
• Deep understanding of the AI/ML lifecycle, model governance, and ethical AI.
• Hands-on experience with platforms such as AWS Bedrock, Azure AI Foundry, Google Vertex, and open-source AI/ML stacks.
• Familiarity with Agentic AI Frameworks and risk-based AI assurance.
• Strong grasp of DPIAs, data protection, and transparency requirements.
• Excellent communication skills for engaging with senior stakeholders and multidisciplinary teams.
• Background in regulated environments with the ability to translate complex requirements into deliverable solutions.

Additional Criteria

• Direct authorship of solution design documentation.
• Experience in developing architectural guardrails and technical standards.
• Hands-on delivery of AI solutions – not just oversight.
• Preference for candidates with a "doer" mindset – technically capable and execution-focused.