Production-Grade AI Engineer: Multi-Agent Systems

Aviva plc; Norwich; Hybrid; GBP 43,000 - 53,000; Full time

Benefits offered by this job

Salary from £48K+ bonus

Bonus opportunity 8% of annual salary

Generous pension scheme

29 days holiday + carry

Private Medical Benefit

Aviva product discounts

Matching Share Plan

Save As You Earn

Flexible benefits including cycle to/—

Volunteer days

Job summary

Aviva plc is looking for an Applied AI Engineer to contribute to the delivery of production-grade AI systems across multiple UK locations. You will implement multi-agent components, prompts, and tool integrations under guidance from senior engineers, ensuring robust testing and governance.

The role emphasizes practical enterprise AI engineering, collaboration with platform and product teams, and adherence to responsible AI standards while growing technical expertise in a large insurer

Qualifications

• Proven experience in production Python development for AI systems.
• Understanding of deploying LLM-based solutions in enterprise environments.
• Experience with AI evaluation and governance practices.

Responsibilities

• Write clean, production-quality Python code for multi-agent systems and AI components.
• Design and implement component-level AI solutions and prompt strategies.
• Maintain test coverage across AI modules to ensure reliability.

Skills

Python Proficiency

AI/LLM knowledge

GenAI frameworks

Software engineering

AI coding tools

Cloud awareness

Quality & governance

Education & experience

Education

Bachelor's degree in Computer Science or related field

Tools

AWS Strands

OpenAI Agents SDK

Google ADK

LangChain/LangGraph

LlamaIndex

Git

CI/CD tooling

Job description

Aviva plc is looking for an Applied AI Engineer to contribute to the delivery of production-grade AI systems across multiple UK locations. You will implement multi-agent components, prompts, and tool integrations under guidance from senior engineers, ensuring robust testing and governance.

The role emphasizes practical enterprise AI engineering, collaboration with platform and product teams, and adherence to responsible AI standards while growing technical expertise in a large insurer