Senior AI Architect and Engineer Lead

Do you want to work to make Power for Good?

We're the world's largest independent renewable energy company, guided by a simple yet powerful vision to create a future where everyone has access to affordable, zero carbon energy.

We know that achieving our ambitions would be impossible without our people. Because we're tackling some of the world's toughest problems, we need the very best people to help us. They're our most important asset so that's why we continually invest in them.

RES is a family with a diverse workforce, and we are dedicated to the personal and professional growth of our people, no matter what stage of their careers they're at. We can promise you rewarding work which makes a real impact, the chance to learn from inspiring colleagues from across a growing, global network and opportunities to grow personally and professionally.

Our competitive package offers a wide range of benefits and rewards.

UK
- Kings Langley or Glasgow. Spain
- Albacete or Madrid.

Are you ready to architect and engineer the future of data and AI at one of the world's leading renewable energy businesses? At RES, we are looking for a Senior AI Architect and Engineer Leadto set the AI architecture for RES’s data and AI platform, and to design, engineer and build the AI services that run on it: LLM and generative AI solutions, agents, machine learning and predictive models, and the next generation of data and AI technology.

Reporting to the Head of Data and Analytics, you will own the forward-looking strategic and conceptual design of our global platform. This role combines AI and solution architecture with hands-on AI engineering, and works closely with our data architects and engineers on how AI uses enterprise data. You will establish standards optimized for LLM reasoning, and coding multi-agent orchestration frameworks. You will work alongside our established Platform Operations team—who handle the day-to-day platform run, infrastructure maintenance, and legacy migrations—allowing you to serve as the ultimate technical authority for AI innovation for data and analytics.

• Own Strategic AI Platform Direction: Define the target-state AI architecture, reference designs and patterns across generative AI, agents, machine learning and retrieval, aligned with the data platform and global business goals.
• Design the Data-to-AI Interface: Establish how enterprise data is structurally modelled (using star schemas, semantic layers, dimensional modelling, and knowledge ontologies) to ensure autonomous AI agents can search, retrieve, and reason over data reliably without hallucinating.
• Build AI services: Lead the hands-on design, coding and prototyping of AI solutions, including LLM and RAG services, agents and multi-agent workflows, and machine learning and predictive models. Set automated evaluation frameworks, non-deterministic testing standards and compliance gates.
• Set Engineering Standards & Code Patterns: Provide senior technical authority in Python, SQL, advanced software engineering, and LLM orchestration to the wider team. Review production code and build reusable code repositories to ensure quality engineering solutions.
• Lead future technology
  :
  Identify, evaluate and prototype emerging AI and data technologies, such as MCP servers, vector databases, knowledge graphs, small and open models, and multimodal and document AI, and bring proven ones into RES’s data and AI portfolio.
• Architect Financial Efficiency: Design cloud data and AI patterns for optimal consumption efficiency, establishing best practices for token management, semantic caching, and compute cost optimization.
• Enforce Trust & Security by Design: Partner with Cyber Security and the Data & AI…