Lead AI Technical Architect (4060)

GBG; Chester; Presencial; GBP 90.000 - 130.000; Jornada completa

Descripción de la vacante

GBG is seeking a Lead AI Technical Architect to steer GBG’s AI and automation transformation. You will translate business opportunities into scalable technical solutions, define reusable patterns, and provide hands-on engineering leadership to the central AI & Automation team.

The role combines architectural strategy with direct delivery, ensuring secure, scalable and measurable outcomes. You will collaborate across Technology, Data and Infosec to align with GBG’s standards and drive impactful

Formación

• Enterprise AI and automation solution design and delivery.
• Architecture across AI, workflow automation, APIs and cloud apps.
• Hands-on AI with LLMs, RAG, AI-assisted workflows or agentic capabilities.
• Translate business priorities into practical technical solutions.
• Delivery-focused with momentum and sustainable quality.
• Experience integrating enterprise automation across systems.
• Strong engineering, testing, deployment, monitoring and support.
• Lead technical teams and provide architectural direction.
• Communicate complex concepts to non-technical stakeholders.
• Hands-on with Azure, Power Platform, Copilot Studio, Python and .NET.
• Foundry/Azure AI Studio desirable.

Responsabilidades

• Lead architecture and solution design for AI and automation initiatives across GBG.
• Translate business requirements into practical, deliverable technical solutions.
• Establish reusable patterns and integration approaches for multiple functions.
• Provide technical leadership to the AI & Automation team, including staff and contractors.
• Own technical estimates, quality, design decisions and delivery readiness.
• Stay involved in delivery through prototyping, reviews and debugging.
• Collaborate with project manager to plan delivery and milestones.
• Partner with SMEs to validate designs and ensure outcomes.
• Work with tech, data and infosec to meet governance and security requirements.
• Establish testing, reliability, monitoring and support standards.
• Evaluate platforms and promote reuse to avoid excess cost.
• Ensure production deployment with proper documentation and ownership.
• Address dependencies and enabling capabilities for future work.
• Develop engineering capability through coaching and knowledge sharing.
• Measure solution performance and business impact.

Conocimientos

AI architecture

Automation solutions

Cloud APIs

Azure / cloud tech

Python

.NET

Stakeholder communication

Team leadership

Security & governance

Herramientas

Microsoft Foundry

Azure AI Studio

Power Platform

Copilot Studio

Azure

Descripción del empleo

About GBG

Enabling safe and rewarding digital lives for genuine people, everywhere

We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification.

With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live.

About the team - AI & Automation Team

The AI & Automation team sits within the Global Service & Operations function, reporting through to the Chief Operating Officer at GBG.

The team is responsible for delivering GBG’s business-wide AI & Automation transformation, turning identified opportunities into practical solutions that improve efficiency, support business growth and enhance the experience of our customers and team members.

Working closely with business functions, Technology, Data and Infosec, the team focuses on delivering measurable business value through scalable, secure and reusable solutions.

The Role - Lead AI Technical Architect

The Lead AI Technical Architect is responsible for leading the technical architecture, solution design and engineering delivery of GBG’s AI and automation transformation programme.

The role will translate prioritised business opportunities into practical technical solutions, establish reusable architecture and engineering standards, and provide technical leadership to the central AI & Automation team.

This is a hands‑on technical leadership role, combining architectural expertise with accountability for successful technical implementation. The role will ensure solutions are secure, scalable, maintainable and capable of delivering measurable business outcomes.

What you will do

• Lead the technical architecture and solution design for AI and automation opportunities across GBG, translating business requirements into practical, deliverable solutions.
• Assess and recommend the most appropriate technical approach, including AI, conventional automation, workflow optimisation, integration and existing enterprise capabilities.
• Establish reusable solution patterns, components and integration approaches that can be applied across multiple business functions, reducing duplication and delivery effort.
• Provide technical leadership and direction to the central AI & Automation engineering team, including permanent employees and contractors.
• Take ownership of technical estimates, engineering quality, solution design decisions and technical delivery readiness.
• Remain actively involved in technical delivery through prototyping, design reviews, code reviews, troubleshooting and resolution of complex engineering challenges.
• Work closely with the project manager to plan technical delivery, allocate engineering capacity, manage dependencies and meet agreed delivery milestones.
• Partner with business owners and functional SMEs to understand operational requirements, validate solution designs and ensure solutions deliver the intended outcomes.
• Work with Technology, data and infosec teams to ensure solutions meet GBG’s architecture, security, privacy and governance requirements.
• Establish appropriate engineering standards covering testing, AI reliability, human oversight, monitoring, deployment and ongoing support.
• Evaluate existing platforms, tools and 3rd party solutions, promoting reuse and avoiding unnecessary technology complexity or cost.
• Ensure solutions are successfully deployed into production, with appropriate documentation, operational ownership and support arrangements.
• Identify and address technical dependencies and enabling capabilities required to support future opportunities.
• Develop internal engineering capability through coaching, knowledge sharing and consistent technical practices.
• Support the measurement of solution performance and effectiveness, enabling business functions to validate and realise expected benefits.

Skills we’re looking for

• Proven experience designing and delivering enterprise AI and automation solutions from concept through to live.
• Strong solution architecture expertise covering AI technologies, workflow automation, system integration, APIs and cloud-based applications.
• Hands‑on experience implementing AI solutions using large language models, retrieval‑augmented generation (RAG), AI‑assisted workflows or agentic capabilities.
• Taking strategy into execution: Able to translate business priorities into practical technical solutions and drive them through to successful implementation
• Delivery focused: Takes ownership of technical outcomes, maintains momentum and balances pace with quality and sustainability.
• Practical experience with enterprise automation technologies and integrating solutions across existing business systems.
• Strong engineering knowledge, including solution design, testing, deployment, monitoring and operational support.
• Experience leading technical teams and providing architectural direction while remaining actively involved in engineering delivery.
• Ability to design reusable and scalable solutions that support multiple business processes and functions.
• Strong understanding of infosec, data protection, AI reliability and appropriate governance controls.
• Experience working in complex enterprise environments with multiple technology platforms and stakeholders.
• Ability to communicate technical concepts clearly to business leaders and non‑technical stakeholders.
• Hands‑on experience with MS Azure, Power platform, copilot studio, python, .NET or similar enterprise technologies.
• Microsoft Foundry Experience (formerly Azure AI Studio) desirable

To find out more

As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process.

Unleash your potential and be part of our mission to power safe and rewarding digital lives.