Principal AI & Agentic Tech Lead — Hybrid in Manchester

Principal AI & Agentic Tech Lead — Hybrid in Manchester

Manchester Full-Time 116535 - 150810 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead AI and agentic tech projects, transforming finance with innovative solutions.
  • Company: Join Lloyds Banking Group, a forward-thinking bank shaping the future of finance.
  • Benefits: Enjoy a competitive salary, generous pension, flexible working, and 30 days holiday.
  • Other info: Inclusive culture celebrating diversity, with excellent career growth opportunities.
  • Why this job: Make a real impact in a fast-paced environment while growing your tech expertise.
  • Qualifications: Deep experience in AI and agentic systems, with strong technical judgement.

The predicted salary is between 116535 - 150810 £ per year.

We're rebooting an icon and building the future of finance. Find out why you should join us.

Agile Working Options: Job Share; Hybrid Working

LOCATION: Bristol, Edinburgh, Manchester or London

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 locations above.

What you’ll be doing:

  • Join one of the Group’s most fast-paced and forward-looking areas, where emerging digital technology is transforming how we work and deliver value.
  • Bring a strong understanding of how agentic systems operate across the full technology ecosystem — from data, APIs and infrastructure through to modelling, decisioning and the consumption layer.
  • Turn business requirements into AI and agentic technology solutions, spotting where current capabilities fall short and driving what needs to be built or brought in.
  • Work closely with senior stakeholders and domain teams, advising on complex, high-stakes initiatives and ensuring technology decisions are grounded in how agentic systems truly behave at scale.

What you’ll deliver:

  • End-to-end technical clarity for Agentic AI — define what “good” looks like across data, integration/APIs, security, infrastructure, models, orchestration, and the consumption layer.
  • A prioritised Agentic AI capability backlog for the domain, based on a forward-looking assessment of capability gaps and business impact.
  • Clear perspective on the agentic technology landscape — track new tools, models, frameworks, and patterns, and recommend how they should be adopted and integrated with existing capabilities.
  • Higher-quality, better-grounded decisions on Agentic AI, supported by expert challenge on autonomy, model choice, orchestration, controls, and scalability before commitments are locked in.
  • Stronger technical and architectural foundations for scaling Agentic AI, reducing the risk of fragile, one-off solutions that fail when reused or operated at domain scale.
  • Greater coherence across Agentic AI initiatives within the domain, avoiding fragmented solutions, duplicated effort, and incompatible assumptions.
  • Confident and responsible Agentic AI adoption, with safety, explainability, and operational robustness embedded as core design criteria.

Why Lloyds Banking Group:

If you think all banks are the same, you’d be wrong. We’re an innovative, fast-changing business that’s shaping finance as a force for good. A bank that’s empowering its people to innovate, explore possibilities and grow with purpose.

What we’re looking for:

  • Deep, hands-on experience with AI and Agentic AI at scale, with a practical understanding of what works in real-world environments, where limits sit, and how issues emerge once systems are live.
  • Strong, current expertise in AI and Agentic AI, with practical breadth across models, agentic patterns, and end-to-end technology stacks.
  • Credibility with technical specialists and senior leaders, with the ability to cut through complexity and apply sound technical judgement when decisions carry material risk.
  • Motivated by technical responsibility rather than span of control, and comfortable acting as the trusted authority on complex, high-stakes questions where getting it right matters.
  • Strong judgement on agentic capability and limits, including how these limits emerge as systems move from pilot to scaled, live operation.
  • Proven ability to influence AI technology approaches and trade-offs, including model selection, reuse vs bespoke approaches, and degrees of autonomy.
  • Skilled at focusing technical discussions on what matters most, bringing clarity to decisions that impact scale, safety, and long-term sustainability.
  • Demonstrated ability to steer difficult decisions through insight and evidence, particularly where technical risk, long-term cost, or operational viability is at stake.
  • A pragmatic engineering mindset, able to simplify for scale, challenge over-engineering, and avoid unnecessary complexity or fragility.

And any experience of these would be great:

  • Experience working in or adjacent to regulated environments, with practical understanding of how regulation, risk appetite, and assurance shape AI deployment.
  • Practical familiarity with AI regulatory and risk expectations in operation, including transparency, control, explainability, auditability, and third-party dependencies.
  • Experience engaging with the wider AI ecosystem (e.g. hyperscalers, vendors, partners), with the ability to assess claims critically and independently.
  • Confidence contributing to deep technical discussions on Agentic AI with external partners or industry forums, while maintaining a bank-first, independent perspective.

About working for us:

Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. 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. And it’s why we especially welcome applications from under-represented groups. We’re disability confident. So if you’d like reasonable adjustments to be made to our recruitment processes, just let us know.

We also offer a wide-ranging benefits package, which includes:

  • 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

Ready for a career where you can have a positive impact as you learn, grow and thrive? Apply today and find out more!

Principal AI & Agentic Tech Lead — Hybrid in Manchester employer: Lloyds Banking Group

At Lloyds Banking Group, we pride ourselves on being an innovative and inclusive employer that empowers our employees to explore new possibilities and grow with purpose. With a hybrid working model, generous benefits including a substantial pension contribution, and a commitment to diversity and wellbeing, we create an environment where you can thrive both personally and professionally while shaping the future of finance.

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Contact Details:

Lloyds Banking Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal AI & Agentic Tech Lead — Hybrid in Manchester

Tip Number 1

Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works in AI. You never know who might have the inside scoop on job openings!

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI and agentic tech. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by diving deep into the company’s tech stack and recent projects. Tailor your responses to highlight how your experience aligns with their needs. Remember, it’s all about showing them you’re the perfect fit!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Principal AI & Agentic Tech Lead — Hybrid in Manchester

AI and Agentic AI Expertise
Technical Authority
Data Integration and APIs
Model Selection
Decisioning Frameworks
Scalability Assessment
Risk Management in AI

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the role. Highlight your experience with AI and agentic systems, and how it aligns with what we're looking for. This shows us you’re genuinely interested and have done your homework!

Showcase Your Technical Skills:Don’t hold back on detailing your hands-on experience with AI technologies. We want to see your practical understanding of models and technology stacks, so be specific about your achievements and the impact they had.

Be Clear and Concise:When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the role.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, you’ll find all the details you need about the role and our company culture there!

How to prepare for a job interview at Lloyds Banking Group

Know Your Tech Inside Out

Make sure you have a solid grasp of AI and agentic systems. Brush up on the latest trends, tools, and frameworks in the field. Be ready to discuss how these technologies can be applied in real-world scenarios, especially in finance.

Prepare for Technical Deep Dives

Expect to dive deep into technical discussions during your interview. Prepare to explain complex concepts clearly and concisely. Think about how you can simplify intricate ideas for stakeholders who may not have a technical background.

Showcase Your Problem-Solving Skills

Be ready to share examples of how you've tackled challenges in previous roles. Highlight your ability to make sound technical decisions under pressure, especially when it comes to balancing risk and innovation in AI deployment.

Engage with the Company’s Vision

Familiarise yourself with the company's mission and values. Show genuine enthusiasm for their approach to finance and technology. Be prepared to discuss how your skills and experiences align with their goals, particularly around inclusivity and innovation.