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 mechanisms are embedded across all agents.
- Influence Global Leadership: Advise senior IT executives and business leaders on complex technical priorities, helping guide investment choices around data architecture, software engineering, and AI automation.
Experience Required
- Enterprise Platform Design: 7+ years of demonstrated track record designing enterprise data architectures and data warehouses at scale to create organizational efficiency.
- Strategic & Conceptual Direction: Deep experience setting architectural reference designs, modeling standards, and technical direction across modern cloud data estates.
- Hands-on AI & Software Engineering: Proven, deep experience writing clean, modular code in Python, SQL, and consuming complex REST APIs. Must have hands-on experience building, testing, and deploying custom LLM agent frameworks (e.g., LangGraph, AutoGen, or LangChain) in production.
- Modern Cloud Data Tooling: Strong technical experience with Azure data and AI ecosystems (Azure AI Foundry, Microsoft Fabric, Azure AI Search) or equivalent components on alternative enterprise cloud platforms.
- Data Governance & Security Knowledge: Solid understanding of how data cataloging, lineage, and privacy compliance integrate with autonomous AI systems.
- Executive Communication & Leadership: Demonstrated ability to articulate complex technical strategies, lead workshops, run steering groups, and influence senior executive stakeholders.
- Exceptional Engineering Judgment: A proven track record of understanding the limitations of generative AI, demonstrating high judgment on where AI automation adds value versus where deterministic engineering must be used.
- Educational Foundation: Bachelor's degree in computer science, software engineering, data analytics, or equivalent deep, hands-on senior career experience.
Why RES?
- A genuinely global remit: You will set the architecture and build the AI for a data platform used across a worldwide renewable energy business.
- Work at the intersection where data, analytics and AI meet: Your architecture and the agents you build will drive business outcomes across the globe in renewable energy.
- A modern, cloud-first stack: Azure, Fabric, Purview, MCP servers, and significant innovation investment.
- A collaborative, growing data and analytics function: Scope to shape how analytics and AI evolves for data and platforms.
- Join a brand new, agile team: Be at the heart of AI, innovation, Next Gen technology, and driving competitive advantage for RES.
- Agentic AI leadership: Set the blueprint for how RES builds and operates autonomous agents on our platform.
Senior Data and AI Architect Lead in Kings Langley employer: RES
At RES, we pride ourselves on being the world's largest independent renewable energy company, dedicated to creating a sustainable future. Our commitment to employee growth is reflected in our diverse work culture, competitive benefits including flexible working hours, private healthcare, and generous holiday allowances, all aimed at fostering a healthy work-life balance. Join us to make a meaningful impact while collaborating with inspiring colleagues in a supportive environment that values your unique contributions.
