Lead AI Platform engineer

Purpose of the role

To lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high‑quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross‑functional teams to align technical decisions with business objectives.

• Lead engineering teams effectively, fostering a collaborative and high‑performance culture to achieve project goals and meet organizational objectives.
• Oversee timelines, team allocation, risk management and task prioritization to ensure the successful delivery of solutions within scope, time, and budget.
• Mentor and support team members’ professional growth, conduct performance reviews, provide actionable feedback, and identify opportunities for improvement.
• Evaluation and enhancement of engineering processes, tools, and methodologies to increase efficiency, streamline workflows, and optimise team productivity.
• Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development.
• Enforcement of technology standards, facilitation of peer reviews, and implementation of robust testing practices to ensure the delivery of high‑quality solutions.

To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/processes; deliver continuous improvements and escalate breaches of policies/procedures. If managing a team, they define jobs and responsibilities, plan for the department’s future needs and operations, counsel employees on performance and contribute to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.

• L – Listen and be authentic
• E – Energise and inspire
• A – Align across the enterprise
• D – Develop others

They will be a subject‑matter expert within their discipline and will guide technical direction. They will lead collaborative, multi‑year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long‑term profits, organisational risks and strategic decisions.

Are you passionate about building cutting‑edge AI platforms that power real‑world impact? We’re looking for a Lead AI Platform Engineer to design, develop, and evolve scalable, secure, and user‑centric platforms that enable next‑generation AI capabilities across machine learning (ML), generative AI (GenAI), and agentic workloads.

• Hands‑on expertise in designing, building, and maintaining AWS platforms supporting AI workloads (ML, GenAI, agentic systems).
• Proven experience working across security, governance, architecture, and business stakeholders, navigating complex enterprise environments.
• A product‑oriented approach, with a focus on outcomes, scalability, self‑service capabilities, continuous evolution, and exceptional user experience.

• Practical experience building ML models and developing GenAI applications.
• Comfort with vibe coding approaches, applying structured rules and reusable patterns to accelerate development.
• Experience working in Agile environments, collaborating iteratively and delivering incremental value.

This role is based in Glasgow.

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job‑specific technical skills.