Agentic AI Senior Software Engineer

Lloyds; Manchester; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Holiday allowance

Flexible working

Private medical benefit

Pension plan

Share plans

Job summary

Lloyds Banking Group in Manchester is seeking an Agentic AI Senior Software Engineer to design, develop and scale enterprise-grade agentic AI capabilities and orchestration features. You will work with engineers, architects and product teams to build secure, scalable AI services across the organization.

The role focuses on platform architecture, production-grade software, cloud-native infrastructure and agentic workflows, with emphasis on innovation, experimentation and adopting emerging AI

Qualifications

• Strong Python software engineering skills with production-grade apps.
• Experience designing agentic AI workflows and orchestration patterns.
• Ability to collaborate with engineers, architects and product teams.
• Experience with CI/CD and software lifecycle management.
• Cloud-native design experience on Google Cloud Platform.
• Knowledge of LLMs, prompting and tuning approaches.

Responsibilities

• Design and evolve platform architectures for agentic AI services and orchestration capabilities.
• Develop and deliver production-grade software and cloud-native infrastructure.
• Build and enhance AI-powered services and agentic workflows.
• Partner with engineers, architects and product teams to accelerate AI-enabled solutions.
• Contribute to engineering standards, software lifecycle practices and technical strategy.
• Drive innovation through experimentation and adoption of emerging AI technologies.

Skills

Python

Collaboration

Agentic AI

Critical thinking

Cloud-native design

LLMs

AI observability

Docker

Kubernetes

GCP

Tools

Docker

Kubernetes

Google Cloud Platform (GCP)

AI observability tools

Job description

• As an Agentic AI Senior Software Engineer, you’ll join the Agentic Orchestration feature team within the Agentic Automation Lab, part of the Agentic & AI Services Platform in Enabling Services
• Working at the forefront of a rapidly evolving technology landscape, you’ll help design, develop and scale enterprise-grade agentic AI capabilities that enable teams across Lloyds Banking Group to deliver innovative, customer-focused solutions. You’ll work closely with engineers, architects and product teams to build secure, scalable and resilient AI services that support a broad range of business use cases
• Design and evolve platform and system architectures for agentic AI services and orchestration capabilities
• Develop and deliver high-quality, production-grade software and cloud-native infrastructure
• Build and enhance AI-powered services, agentic workflows and platform capabilities that enable adoption across the Group
• Partner with engineers, architects and product teams to accelerate the delivery of AI-enabled solutions
• Contribute to engineering standards, software lifecycle practices and technical strategy
• Drive innovation through experimentation, continuous improvement and the adoption of emerging AI technologies
• We’re transforming at pace and investing heavily in our people, data and technology to help us deliver better outcomes for our 28 million customers
• This is an exciting opportunity to help shape the future of AI at Lloyds Banking Group, working on complex engineering challenges and building platform capabilities that enable innovation across the organisation
• If you’re passionate about engineering excellence, modern software development and the potential of AI to solve real-world problems, we’d love to hear from you

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.

Strong Python software engineering skills, with proven experience designing, developing and delivering secure, scalable, production-grade applications and servicesStrong Collaboration skills, building effective partnerships across engineering, architecture and product teams to deliver shared outcomesExperience designing and delivering Agentic AI solutions, including agentic workflows, tool integration, orchestration patterns and multi-agent architecturesStrong Critical Thinking skills, with the ability to analyse complex technical challenges, evaluate trade-offs and deliver practical solutionsStrong Software Engineering capability with experience applying modern engineering practices including testing, CI/CD and software lifecycle managementExperience designing and implementing scalable cloud-native systems, platforms and servicesExperience with Google Cloud Platform (GCP)Knowledge of Large Language Models (LLMs), including prompting, evaluation and fine-tuning approachesExperience with Docker, Kubernetes and AI observability, monitoring or evaluation frameworks