AI Engineer

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Salary Range

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

Flexible Working Options

Job Description Summary

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Job Description

JOB TITLE:AI Engineer

LOCATIONS:London / Bristol / Edinburgh

HOURS:Full-Time

WORKING PATTERN:Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites

We’re the Innovation team, part of the Client Data & Analytics platform within the Business and Commercial Banking division. Our mission is to create business value through Generative AI by delivering innovative, production-ready solutions across multiple domains.

As an AI Engineer, you’ll play a key role in designing and deploying enterprise‑scale AI systems, shaping technical direction for both prototypes and production solutions. You’ll help shape advanced AI solutions that harness Large Language Models (LLMs) and emerging agentic patterns, driving innovation while meeting strict security and governance standards.

Our team is small, fast-moving, and constantly evolving, giving you the opportunity to influence technical decisions and contribute across the full solution lifecycle. You’ll thrive if you embrace ambiguity, excel in resource‑constrained environments, and take initiative to drive best practices—while staying ahead of AI advancements to keep us at the forefront of innovation.

• Ability to architect AI systems at scale, applying cloud‑native principles and ensuring security, compliance, and governance. Skilled at navigating enterprise processes—identifying requirements, engaging with risk and security forums, and securing architecture approvals—while balancing innovation with regulatory obligations.

• Experience influencing and improving enterprise AI environments by collaborating with platform and governance teams to define secure, scalable, and compliant foundations, and proactively driving best practices.

• Strong Python expertise and solid software engineering fundamentals—clean, maintainable code, modular design, testing, and best practices for building secure, production‑ready systems.

• Demonstrated track record of delivering production‑grade AI services, including API development, containerization, orchestration, and automated infrastructure and release pipelines for reliable, scalable delivery in cloud environments.

• Applied experience with observability and MLOps practices, monitoring system health and model performance, tracking metrics, and enabling continuous improvement in production environments.

• Ability to collaborate effectively with technical and non‑technical partners, translating business requirements into actionable technical solutions, setting shared expectations, and providing clear, timely communication throughout delivery.

• Commitment to staying informed on AI advancements and assessing their applicability, ensuring solutions remain innovative and aligned with strategic goals. Actively contribute to an inclusive, collaborative team culture, fostering knowledge sharing and collective growth.

• Understanding of Commercial and Business Banking products, services, and processes, enabling better alignment of AI solutions with real‑world business needs and customer outcomes.

• Exposure to LLM concepts, such as context engineering, retrieval strategies, agentic workflows, and orchestration, and working knowledge of frameworks like Lang Graph to support informed design decisions and enhance solution robustness.

• Experience with front‑end development to quickly prototype and validate AI‑driven solutions, enabling faster iteration and alignment with business requirements.

Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we’re committed to creating an environment in which everyone can thrive, learn and develop. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative.

We offer…