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AI Principal Developer
Job in
Glasgow, Glasgow City Area, G1, Scotland, UK
Listed on 2026-07-22
Listing for:
Iberdrola SA
Full Time
position Listed on 2026-07-22
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Software Architect
Job Description & How to Apply Below
Reino Unido, Glasgow posted on:
Publicado hoytime left to apply:
Fecha final: 31 de julio de 2026 (Quedan 10 días para realizar la solicitud) job requisition :
R-31594
** AI Principal Developer
**** Scottish Power HQ, Glasgow (hybrid)
**** Salary up to £88,500 + car allowance, up to 20% bonus, private medical & other excellent benefits
**** Closing date
- Friday 31st of July 2026
***** Help us create a better future, quicker!
*** Working as a technical leader within the SP Energy Networks Centre of Excellence across all Value Streams, the Principal Developer will provide strategic and hands-on technical leadership in the exploration, design, and delivery of AI-driven and emerging technology solutions that accelerate SPEN’s digital transformation.
The role is responsible for identifying innovative opportunities, shaping scalable architectures, and embedding modern engineering practices to unlock business value, improve operational efficiency, and support regulatory and customer outcomes.
Acting as a senior technical authority within the Centre of Excellence, the Principal Developer will bridge cutting-edge technology with real world SPEN challenges, ensuring solutions are secure, resilient, and aligned to enterprise standards, while fostering innovation, mentoring engineering teams, and driving the adoption of AI, automation, and next-generation digital capabilities across SPEN.
*** What you’ll be doing
**** Lead the end-to-end technical delivery of AI and emerging technology solutions, ensuring they are designed, built, and deployed to meet enterprise standards for security, scalability, resilience, and performance.
* Translating strategic intent into high-quality engineering outcomes, embedding Dev Sec Ops practices, and ensuring seamless integration with SPEN’s core platforms and data ecosystems
* Provide technical leadership on modern software engineering practices, integration patterns, cloud services, data platforms and AI-enabled solutions, ensuring designs are scalable, resilient, secure and supportable
* Agree and recommend AI solution and technology designs with business representatives and Solution Architecture leads
* Lead on technology trials and implementations, including generative AI, machine learning-enabled services, prompt design, model integration patterns, automation tooling and responsible AI controls
* Lead on the evaluation, design and governance of AI-powered solutions to identify technologies that support business goals and strategy., ensuring appropriate controls for security, privacy, data quality, explainability and responsible use
* Provide expert technology advice to Transformation teams and projects
* Guide teams on when to use traditional engineering approaches, automation, analytics and generative AI, and will help establish standards for experimentation, proof of value and operational readiness
* Drive technical assurance across the delivery lifecycle—governing design decisions, managing technical risk, and ensuring compliance with regulatory, cyber security (e.g., NIS/CAF), and data governance requirements. Provides hands-on leadership to resolve complex technical challenges, accelerates delivery through reuse and standardisation, and ensures solutions deliver measurable operational and business value
* Partner closely with product owners, architects, and business stakeholders to align delivery with priorities, while mentoring engineering teams and fostering a culture of innovation, continuous improvement, and engineering excellence across the Centre of Excellence
*** What you’ll bring
**** Significant experience in software engineering, application design and technical leadership within an organisation of similar scope and scale, with experience of influencing enterprise-wide standards and delivery approaches
* Strong experience of modern application development, systems integration, APIs, event-driven architecture and secure engineering practices
* Experience in evaluating, designing or integrating AI-enabled capabilities such as generative AI assistants, intelligent automation, search, summarisation, classification or…
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