Applied AI Engineer

Applied AI Engineer

Location :
Birmingham, Bristol, Eastleigh, Glasgow, Leatherhead, Leeds, Liverpool, Manchester, Norwich, Perth, Sheffield, Worthing or York

Salary from £48K + 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 an Applied AI Engineer, you will bring fresh technical energy to our newly formed function. Working alongside senior technical leaders, you will help build production-grade AI agents and applied systems while developing foundational expertise in enterprise AI engineering at one of the UK's largest insurers.

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 h 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 eager to move beyond proofs-of-concept, write clean, testable code and learn how enterprise-scale AI is engineered in production, we’d love to hear from you.

You will contribute directly to the delivery velocity of our Applied AI Engineering team, building well-tested, high-quality code for multi-agent systems, context engineering and AI evaluation under the close guidance of lead engineers.

You will be responsible for :

• Contributing clean, production-quality Python code for multi-agent systems and applied AI components.

• Designing and implementing component-level solutions, including prompt construction approaches and tool integration methods.

• Building and maintaining test coverage across individual AI modules to ensure reliability and quality.

• Leveraging AI-powered coding assistants (Claude Code, Cursor, Codex) to accelerate development and maintain high engineering standards.

• Adhering to responsible AI standards, flagging potential compliance, bias or data handling concerns early.

• Participating actively in code reviews and pair programming to continuously develop your technical skills.

• Collaborating with AI platform and product teams to understand requirements and integrate shared tooling.

You’ll bring experience in many of these areas:

• Python Proficiency: Ability to write clean, maintainable and testable production Python code.

• Foundational AI/LLM Knowledge:
  Understanding of how LLMs are applied in production settings (agents, RAG, prompt engineering).

• GenAI Frameworks: Exposure to frameworks like AWS Strands, OpenAI Agents SDK, Google ADK, DSPy or similar libraries (Lang Chain/Lang Graph, Llama Index).

• Software Engineering Fundamentals: Solid grasp of version control (Git), testing strategies and CI/CD pipelines.

• AI Coding Tools: Fluent use of modern AI coding assistants (Cursor, Claude Code, Codex).

• Cloud Awareness: Familiarity with cloud environments, preferably AWS.

• Quality & Governance: Curiosity about AI evaluation frameworks and a willingness to work within regulated governance standards.

• Education & Experience: A degree in Computer Science, STEM or equivalent practical experience, supported by relevant portfolio projects, open-source work or internship experience. (AWS Cloud Practitioner certifications are a bonus).

This is an opportunity to help build AI in a highly trusted environment, where customer outcomes, governance and responsible innovation matter.

You'll join a business with proven AI capability, significant digital reach, modern technology foundations and the ambition to scale AI across the organisation.

Our purpose –with…