Senior Data and AI Architect Lead

Reference: 128968

Description Senior Data and AI Architect Description
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.

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

Summary / Purpose of the Role
Are you ready to architect the future of data and AI at one of the world's leading renewable energy businesses? At RES, we are looking for a Senior Data and AI Architect to design and build our next-generation Microsoft Fabric and Azure data estate, and to spearhead the engineering of the autonomous AI agents and intelligent services that operate within it.
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 elite enterprise data warehousing architecture with cutting-edge AI systems design. You will focus entirely on defining future-state architecture, establishing data standards optimized for LLM reasoning, and coding multi-agent orchestration frameworks. You will work in lockstep with 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 data and AI innovation across RES.Key

Accountabilities Own Strategic Platform Direction:
Define the target-state data and AI architecture, governance frameworks, and data modelling standards across Microsoft Fabric and Azure, aligned with 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.
Pioneer Agentic AI Services:
Lead the hands-on design, coding, and prototyping of multi-agent workflows and custom AI services; set rigorous 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.
Drive Platform Capabilities:
Identify, evaluate, and prototype emerging technologies and agentic tools (such as Model Context Protocol servers and vector databases), bringing highly automated new capabilities into our global data product 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 Governance Lead to ensure data privacy, access boundaries (RBAC), and prompt-injection defence…