Senior AI Engineer

End Date Thursday 17 September 2026

Salary Range
72,702 - 80,780

We support flexible working –  for more information on flexible working options

Flexible Working Options Hybrid Working

Job Description Summary

JOB TITLE:

Data Scientist LOCATION(S):
Bristol

HOURS:

Full time WORKING PATTERN:
Hybrid, 40% (or two days) in the Bristol office

On-call Required

Job Description

JOB TITLE:

Senior AI Engineer SALARY: 72,702 – 80,780

LOCATION(S):
Bristol

HOURS:

Full-time – 35 hours per week WORKING PATTERN:
Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our Bristol office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy. About this opportunity

The Intelligent Customer Products (ICP) platform is a new CDO platform within Consumer Relationships. It builds and scales capabilities including Conversational AI, AI Search, CoachAI and Super Agent to deliver trusted, personalised and effortless AI-powered customer experiences. ICP helps Lloyds create proactive, intelligent customer interactions that drive growth, improve customer satisfaction and reduce cost to serve, underpinned by the standards, governance and operational foundations needed to deploy AI safely at enterprise scale.

The Senior AI Engineer role is a hands-on technical role within the Intelligent Customer Products (ICP) Platform, responsible for designing, building and supporting AI-powered customer experiences across Lloyds Banking Group. Working as part of multidisciplinary teams, the role contributes to the development, deployment and operation of machine learning, generative AI and agentic AI solutions that power strategic capabilities such as Conversational AI, AI Search and personalised customer engagement.

The successful candidate will apply strong software engineering and AI expertise to deliver secure, scalable and responsible AI solutions to production.

What you’ll be doing

Design, develop, test and deploy LLM and agentic AI solutions Contribute to the development of LLM, Retrieval-Augmented Generation (RAG) and agentic AI solutions, including evaluation, optimisation and monitoring.

Implement reliable and scalable AI solutions using established software engineering, MLOps and LLMOps practices.

Contribute across the AI delivery lifecycle from experimentation and prototyping through to production deployment and operational support.

Collaborate with platform engineering teams to integrate AI capabilities into enterprise services and customer journeys.

Support Responsible AI, model governance, monitoring, auditability and risk management requirements throughout the solution lifecycle.

Investigate emerging AI technologies and contribute ideas for improving products, processes and engineering practices.

Work closely with Product, AI Engineering, Architecture and Software Engineering colleagues to translate customer and business requirements into scalable technical solutions.

Participate in code reviews, knowledge sharing and engineering communities to continuously improve team capability and technical quality.

Why join us?

We’re transforming esting billions in our people, data and tech to change the way we meet the needs of our 28 million customers. We’re growing, and we’d love you to be part of the journey.

What we’re looking for?

Proven experience engineering technology solutions in complex environments and supporting production operations Applied AI/ML and GenAI experience with knowledge of established patterns (RAG, tool use, guardrails, evaluation, agents) and an ability to evaluate tools and approaches Experience working with conversational AI platforms and customer-facing AI applications. Experience working with cloud platforms such as Google Cloud Platform (GCP), including exposure to services such as Vertex AI, Big Query and Kubernetes.

Understanding of CI/CD, version control and software delivery best practices.

Ability to collaborate effectively within multidisciplinary teams and contribute throughout the software development lifecycle.

Strong communication skills, with the ability to explain…