At a Glance
- Tasks: Lead the development of autonomous AI solutions for colleagues and customers.
- Company: Join a forward-thinking finance group focused on innovation and inclusivity.
- Benefits: Enjoy a generous pension, flexible working, 30 days holiday, and wellbeing initiatives.
- Other info: Embrace a culture of diversity, equity, and inclusion while driving engineering excellence.
- Why this job: Shape the future of finance with cutting-edge AI technology and a diverse team.
- Qualifications: Proficient in Python and TypeScript, with strong leadership and cloud-native engineering skills.
The predicted salary is between 60000 - 80000 £ per year.
- WORKING PATTERN
- Hybrid, 40% (or two days) in our Manchester office location
- What you'll be doing
Developing the upcoming era of autonomous AI for colleagues and customers is our focus - ensuring safety, security, and scalability.
As a Lead Software Engineer, you'll set technical direction and lead multiple teams to design, build and run AI Agents on Google Cloud, blending open-source tools with GCP native services.
You'll stay hands‑on when needed and help grow engineering capability - all while delivering outcomes at pace in a regulated environment.
Working closely with Engineering, Product and Architecture teams, you'll define the strategy and technical direction for agentic AI services, establishing standards, patterns and quality expectations.
You'll lead and develop multiple engineering teams, fostering a high-performing, inclusive culture while delivering resilient and scalable solutions.
You'll design, build and operate AI Agents on Google Cloud using services such as Vertex AI, Cloud Run, GKE, Big Query and IAM, integrating securely with enterprise systems and following modern engineering practices including CI/CD, automated testing, SRE and observability.
You'll have responsibility for the full solution lifecycle, ensuring platforms are secure, compliant, resilient and cost-effective through robust guardrails, model evaluation, Fin Ops and effective security controls.
You'll also drive engineering excellence by developing reusable components and standards, leading vendor engagements, simplifying infrastructure and influencing senior stakeholders across the platform.
We're on an exciting journey to transform our Group and the way we're shaping finance for good.
We're focusing on the future, investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone.
What we're looking for
- Proficiency in Python and Type Script, with experience delivering production services (APIs, event-driven systems, microservices), ideally on GCP.
- Proven technical leadership of large, multi-team deliveries - setting strategy, making sound architectural decisions and enabling teams to deliver at pace.
- Hands‑on experience with agentic AI: building LLM‑powered applications/agents, tool use, orchestration, retrieval (RAG), prompt and safety engineering, evaluation and telemetry.
- Proficient knowledge of cloud-native engineering: containers (GKE/Cloud Run), Terraform/Ia C, continuous integration/continuous deployment, automated quality assurance, observability, optimizing performance, and managing incidents.
- Solid knowledge of security, privacy and compliance in regulated environments; confident working with Risk, Security and Legal teams.
- Excellent communication and stakeholder engagement skills, with the ability to simplify complex concepts into clear, outcome-focused narratives.
- And any experience of these would be great
- Experience with Vertex AI Agent Builder/Agentspace, Lang Graph, multi-agent patterns or agent-to-agent protocols.
- Knowledge of data governance and model risk practices in financial services.
- Exposure to Azure/AWS or cross-cloud patterns.
- Experience building communities of practice and engineering guilds.
We know that great talent comes from many backgrounds.
Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways.
So, if you have relevant, transferable experience, we encourage you to apply.
This is a place for you
Our ambition is to be the leading UK business for diversity, equity and inclusion, supporting our customers, colleagues and communities.
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 establish a dedicated Working with Cancer initiative.
We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns.
As a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role and have a disability, long-term health condition or neurodivergent condition through the Disability Confident Scheme.
We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need.
- We also offer a wide-ranging benefits package, which includes
- A generous pension contribution of up to 15%
- An annual performance related bonus
- 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
- #J-18808-Ljbffr
AI Engineer in Manchester employer: LLOYDS BANKING GROUP
Lloyds Banking Group is an exceptional employer that prioritises employee well-being and professional growth, offering a dynamic work culture that fosters collaboration and innovation. With the flexibility of remote working and opportunities for career advancement within the Economic Crime Prevention function, employees can thrive in a supportive environment while contributing to meaningful compliance efforts. The company's commitment to diversity and inclusion further enhances its appeal, making it a rewarding place to build a career.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in Manchester
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at LLOYDS BANKING GROUP or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to LLOYDS BANKING GROUP.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like LLOYDS BANKING GROUP.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like LLOYDS BANKING GROUP that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Engineer in Manchester
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at LLOYDS BANKING GROUP.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at LLOYDS BANKING GROUP and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at LLOYDS BANKING GROUP
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If LLOYDS BANKING GROUP uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.