Lead the development and evolution of the ScottishPower Digital team's AI and automation capabilities, ensuring alignment with business priorities and customer outcomes
Own delivery of strategic AI initiatives, defining the technical vision, roadmap, and operating model
Actively design, build, and prototype AI-enabled solutions, contributing hands-on to key components and complex problem solving
Establish and drive engineering standards for AI, including observability, evaluation, model governance, and responsible AI practices
Review and contribute to solution designs, ensuring scalability, security, and maintainability across AI and automation platforms
Embed automation-first thinking, identifying opportunities to optimise processes and improve efficiency through technology
Collaborate closely with cross-functional teams including Product, Data, Security, Engineering and Architecture to deliver integrated solutions
Ensure alignment with AI governance, risk, and compliance frameworks, including model validation, monitoring, and auditability
Lead and mentor engineers and specialists, fostering a culture of innovation, experimentation, and continuous improvement
Drive adoption of AI and automation capabilities through practical delivery, tooling, and hands-on enablement
Requirements
Proven experience leading delivery of AI, automation, or advanced digital solutions at scale
Strong hands-on experience with AI/ML and modern engineering practices, ideally including LLMs, generative AI, agentic solutions and automation frameworks
Demonstrated ability to design and build production-ready AI solutions
Experience building and operating AI-enabled platforms or services in a cloud-native environment (e.g. Azure or AWS)
Familiarity with RAG architectures, APIs, observability tools (Langfuse or similar), and data integration patterns
Experience with CI/CD, DevOps practices, and platform engineering for scalable delivery
Knowledge of AI governance, security, and compliance considerations, including risk management and observability
Proficiency with modern development tooling (e.g. Git, pipelines, infrastructure-as-code)
Strong stakeholder management skills, with the ability to translate technical capability into business value
Experience leading teams while remaining close to the technology and delivery
Minimum Criteria
Proven experience leading the delivery of AI, automation, or advanced digital solutions at scale
Hands-on expertise in AI/ML and modern engineering practices, including generative AI, LLMs, self-hosting language models or automation frameworks
Demonstrated ability to design, build, and deploy production-ready AI solutions within cloud environments (e.g. Azure or AWS)
Solid understanding of AI architectures and tooling (e.g. RAG, APIs, observability, data integration, CI/CD, and DevOps practices)
Excellent leadership and stakeholder management skills, with the ability to translate technical solutions into clear business value while guiding teams
Benefits
As well as a competitive salary which is reviewed annually, you can also enjoy a number of other benefits. With our pension scheme, we'll double match your contribution up to a company contribution of 10%.36 days annual leaveHoliday purchase - perfect your work/life balance with extra annual leaveShare Incentive Plan and Sharesave SchemePayroll giving and charity matched fundingTechnology Vouchers - save more and spread the cost of your technology purposesCount us in - pledge to reduce carbon emissiVision insurancePerformance bonus
Additional Information
AI Engineering Lead
ScottishPower HQ, Glasgow (hybrid)
Salary up to £88,500 + car allowance, up to 20% bonus & other excellent benefits
Full-time, permanent position
Closing date: Tuesday 23rd of June 2026
Help us create a better future, quicker!
As the AI Engineering Lead within our Digital team, you will lead the design, development, and scaling of AI-powered and automation capabilities across our customer and internal platforms. This is a hands-on technical leadership role focused on delivering intelligent, data-driven solutions that enhance customer experience and improve operational efficiency.
You will be responsible for leading AI engineering and automation initiatives while also remaining actively involved in the design and build of solutions. This includes shaping technical direction, developing key components, and working closely with the product engineering teams to deliver secure, scalable, and production-ready capabilities. The role also includes ownership of major AI initiatives and embedding best practice across teams.
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