Senior AI Engineer

Aviva; Greater London; Hybride; GBP 90 000 - 130 000; Plein temps

Résumé du poste

Aviva is seeking an experienced Senior AI Engineer to lead the technical design and delivery of complex AI solutions and AI agents within a defined business domain. This hands‑on senior role combines advanced AI expertise with technical leadership, owning design, build and deployment of LLM‑powered systems in a regulated financial services environment.

You will work with product and business stakeholders, set technical quality standards, mentor engineers and contribute to Aviva's engineering

Qualifications

• Proven experience as a Senior AI Engineer, Senior Machine Learning Engineer or equivalent.
• Advanced experience designing, building and deploying production‑grade AI systems.
• Strong hands‑on experience with LLM‑powered applications and AI agents.
• Excellent Python and software engineering skills, with experience in cloud environments.
• Practical expertise in context engineering, prompt/context pipelines, agent orchestration and retrieval strategies.
• Experience designing AI architectures balancing performance, scalability, cost and reliability.
• Experience with AI evaluation for quality, safety and production readiness.
• Experience implementing monitoring and observability for AI systems.
• Strong production engineering practices including testing, deployment, observability and incident response.
• Experience owning AI solutions from design to production and continuous improvement.
• Ability to choose frameworks, tools and approaches for delivering AI solutions.
• Experience identifying and managing technical and model risks with governance channels.
• Strong understanding of responsible AI principles, fairness and data protection.
• Experience in regulated environments and related requirements.
• Ability to trade off delivery speed, model performance and cost.
• Experience providing technical leadership through mentoring and code reviews.
• Strong collaboration across product, business, engineering, risk and compliance teams.
• Excellent communication to explain complex technical decisions to both technical and non‑technical audiences.
• Comfortable with autonomy and ownership of complex delivery outcomes.
• Experience contributing to engineering standards and reusable patterns.

Responsabilités

• Lead the technical design and delivery of complex AI solutions and agents.
• Own architecture, design, build and deployment of LLM-powered systems.
• Mentor engineers and provide architectural guidance.
• Collaborate with product and risk teams to ensure compliant AI engineering.
• Help establish engineering standards and patterns across Aviva.
• Drive safe and responsible AI practices in production environments.
• Translate business problems into well‑defined AI solutions and roadmaps.

Connaissances

Senior AI Engineer

AI design & delivery

LLM-powered systems

Python

Cloud environments

Context engineering

Prompt engineering

Agent orchestration

Retrieval strategies

Production engineering

Governance & risk

Responsible AI

Mentoring

Communication to stakeholders

Formation

Degree in Computer Science, Engineering, Mathematics or a related discipline, or equivalent professional experience

Description du poste

We are looking for an experienced Senior AI Engineer to lead the technical design and delivery of complex AI solutions and AI agents across a defined business domain or programme.

This is a hands‑on senior engineering role, combining advanced AI expertise with technical leadership. You’ll take ownership of designing, building and deploying LLM‑powered and agent‑based systems, ensuring they are robust, scalable, cost‑effective and responsibly engineered for use within a regulated financial services environment.

You’ll work closely with product and business stakeholders to turn complex business problems into well‑defined AI solutions, while setting the technical quality bar across your area. You’ll also contribute to shared AI engineering standards and patterns across Aviva and provide technical guidance and mentoring to less‑experienced engineers.

The role offers the opportunity to work on complex applied AI problems while having a direct impact on how AI is safely and effectively delivered into production.

Skills and experience we're looking for

• Proven experience as a Senior AI Engineer, Senior Machine Learning Engineer, Senior Software Engineer or equivalent.
• Advanced experience designing, building and deploying production‑grade AI systems.
• Strong hands‑on experience with LLM‑powered applications and AI agents.
• Excellent Python and software engineering skills, with experience working in cloud‑based environments.
• Practical expertise in context engineering, prompt/context pipelines, agent orchestration and retrieval strategies.
• Experience designing AI architectures that balance performance, scalability, cost, reliability and responsible AI requirements.
• Strong experience with AI evaluation, including approaches for assessing quality, safety, fairness and production readiness.
• Experience implementing monitoring and observability for AI systems, including identifying and responding to changes in system performance.
• Strong understanding of production engineering practices, including testing, deployment, observability and incident response.
• Experience taking ownership of AI solutions throughout the lifecycle, from design and development through to production operation and continuous improvement.
• Ability to make informed decisions around frameworks, tools and technical approaches for delivering AI solutions.
• Experience identifying and managing technical and model risks and escalating material risks through appropriate governance channels.
• Strong understanding of responsible AI principles, including fairness, bias mitigation, data protection and appropriate controls for AI systems.
• Experience working within, or a strong understanding of, regulated environments and the additional requirements this places on AI engineering.
• Ability to make effective trade‑offs between delivery speed, model performance, interpretability, governance, reliability and cost.
• Experience providing technical leadership through mentoring, code reviews, architectural guidance and knowledge sharing.
• Strong collaboration skills, with the ability to work effectively with product, business, engineering, architecture, risk and compliance stakeholders.
• Excellent communication skills, with the ability to explain complex technical decisions clearly to both technical and non‑technical audiences.
• Comfortable working with a high degree of autonomy and taking ownership of complex delivery outcomes.
• Experience contributing to engineering standards, reusable patterns, tooling or communities of practice.
• Degree in Computer Science, Engineering, Mathematics or a related discipline, or equivalent professional experience.
• Relevant AI or cloud certifications would be advantageous.

We’re inclusive and welcome everyone – we want applications from all backgrounds and experiences. Excited but not sure you tick every box? Even if you don’t, we would still encourage you to apply. We also consider all forms of flexible working, including part‑time and job shares. We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working – spending at least 50% of their time in our offices every week – combining the benefits of flexibility, with time together with colleagues.