Senior Applied AI Engineer in Norfolk

Senior Applied AI Engineer Location : Birmingham, Bristol, Eastleigh, Glasgow, Leatherhead, Leeds, Liverpool, Manchester, Norwich, Perth, Sheffield, Worthing or York Salary from £66K + bonus + excellent benefits Build AI that matters. AI is already making a difference across Aviva, helping colleagues and customers through areas such as claims summarisation, medical underwriting, customer service and fraud detection. As a Senior Applied AI Engineer, you’ll operate as a technical authority within our newly formed function. You’ll lead the end-to-end architecture and delivery of our most complex multi-agent AI systems, while establishing the canonical engineering standards, reusable capabilities and governance frameworks that define AI across the entire organisation. Technology and AI are central to Aviva's strategy. Today, we serve over 25 million customers globally, support 7.4 million registered MyAviva users and continue to invest in the technology foundations that enable innovation at scale. With 70% of UK IT applications now cloud-based, we're creating the platform for the next phase of AI adoption across the business. If you’re excited by solving complex technical challenges at genuine scale, leading through expertise and building production-grade AI that delivers measurable value, we would love to hear from you. A bit about the job: You’ll carry both a high-impact delivery mandate and an institution-building mandate: delivering agentic AI systems for complex business use cases while ensuring the tools, patterns and knowledge created are adopted at scale. You’ll be responsible for : Leading the end-to-end architecture and delivery of multi-agent AI systems across customer-facing and operational domains. Defining and owning Aviva’s canonical engineering patterns for applied AI, including orchestration architectures, context engineering, MCP integration, memory design, fine-tuning and multimodal systems. Building and maintaining a reusable library of agent tools, MCP servers, skills and shared engineering assets adopted across AI delivery teams. Establishing quality, safety and governance standards for production AI systems, designing evaluation frameworks to manage model risk before any system is built. Leading structured research programmes on emerging models and techniques, translating findings into actionable delivery guidance. Providing technical leadership and mentorship to mid-level and junior engineers through architecture reviews, code reviews and knowledge sharing. Partnering with business, product and Enterprise Architecture teams to translate complex AI opportunities into commercially viable, scalable solutions. Ensuring compliance with FCA Consumer Duty, GDPR and internal AI governance standards, including bias detection and fairness controls. Skills and experience we’re looking for : You’ll bring experience in many of these areas : Enterprise AI Delivery: Extensive hands-on experience delivering LLM-powered systems and production AI at scale. Python Mastery: Expert-level Python engineering, writing and reviewing production-quality code for complex multi-agent systems. Agentic Architectures: Deep expertise in agent orchestration frameworks (AWS Strands, OpenAI Agents SDK, Google ADK, DSPy or raw agent loop design). Context