Senior Data and AI Architecture and Platform Lead

RES is a global renewable energy company focused on creating a future powered by affordable, zero-carbon energy. The Senior Data and AI Architect and Platform Lead will own the strategic and operational design, build, and operation of the Microsoft Fabric and Azure data and AI platform, while leading the development of AI agents and services. The role provides technical leadership across architecture, governance, engineering standards, platform adoption, security, cost management, and executive stakeholder engagement.

Responsibilities:

• Own strategic direction for the data and AI platform: target-state architecture, governance models, security standards, and scalability decisions, aligned with business strategy
• Establish the interface between data and AI: design how governed data is modelled and exposed so AI agents can access it reliably; sets and implements standards
• Lead the design and build of  AI agents and services; set evaluation frameworks, testing standards, and monitoring
• Set technical standards and patterns for the team, train and develop staff in the delivery of agentic AI solutions for data and analytics and our platform. Provide technical authority in Python, SQL, software engineering, code development and LLMs to the data and analytics team; build and review production code to deliver quality engineering solutions
• Build and own our data platform platform tools, technologies and patterns that enable the team to deliver at scale and efficiently.  Identify, evaluate and implement emerging technologies, tools and techniques; bring new capabilities into the team, growing and evolving our global platform and data and AI products
• Establish and lead cost management data and AI platform; design architecture for optimal efficiency. Ensure best practice is embedded throughout the platform and lead work with vendors and external reviews
• Partner with Cyber Security to lead safe delivery of work end to end throughout the platform, including with end users
• Influence senior IT and business leadership: present strategic options, advise on technical priorities, and guide decisions on platform, software engineering and AI investments