Senior AI Engineer

• 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
• 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

Benefits

• A generous holiday allowance: You'll be eligible for a minimum of 22 days holiday (excluding bank holidays), rising to 30 days based on length of service and grade.
• A flexible way of working: Whether you want flexibility over your location or when you log on, together we can create an approach that works for you and for the business.
• Family leave: Up to 63 weeks of maternity or adoption leave. Statutory maternity or adoption pay is available for 39 weeks, and 20 weeks will be enhanced to the equivalent of full pay. Partners can have six weeks of fully paid paternity leave.
• Flex cash: This is 4% of your basic salary and can be used to spend on the benefits of your choice, or you can choose to take it as a cash top up in your monthly salary.
• Health insurance: Our company funded Private Medical Benefit provides all colleagues with access to good quality medical care, including accommodation, nursing care and specialist advice.
• Colleague Offers: Get discounts on everything from electrical items to cinema tickets and weekly food shopping. You can share this benefit with up to ten family members or friends.
• Financial products: Take advantage of our great financial products, some at a discounted rate, including current accounts, home and car insurance and loans.
• Share plans: Participate in Sharematch and receive matching shares of up to £45 a month from the company, and you can choose to participate in Sharesave, our combined savings and share option plan.
• Pension: We offer a generous pension plan, with all joiners being automatically enrolled in our 'Your Tomorrow' scheme. You can decide how much you save and get a say in where your contributions are invested.

• Experience working with cloud platforms such as Google Cloud Platform (GCP), including exposure to services such as Vertex AI, BigQuery and Kubernetes
• Experience working with conversational AI platforms and customer-facing AI applications
• Ability to collaborate effectively within multidisciplinary teams and contribute throughout the software development lifecycle
• Awareness of Responsible AI, model governance, security and operational considerations when deploying AI solutions
• Applied AI/ML and GenAI experiencewith knowledge ofestablishedpatterns(RAG, tool use, guardrails, evaluation, agents)and anability to evaluate toolsandapproaches
• Strong communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences
• Proven experienceengineeringtechnologysolutions in complex environmentsandsupportingproductionoperations
• Understanding of CI/CD, version control and software delivery best practices