Hybrid AI Engineer

at Lloyds Banking Group

• Job title: AI Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Python
• Location requirements: Hybrid, London, United Kingdom

About the role

• AI Engineer designing and deploying enterprise-scale AI systems in the Innovation team of Client Data & Analytics platform. Driving innovation through Generative AI solutions while ensuring security and governance standards.

Responsibilities

• 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.

Requirements

• 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.

Benefits

• A generous pension contribution of up to 15%
• An annual performance-related bonus
• Share schemes including free shares
• Benefits you can adapt to your lifestyle, such as discounted shopping
• 30 days’ holiday, with bank holidays on top
• A range of wellbeing initiatives and generous parental leave policies