At a Glance
- Tasks: Lead the development of secure, governed AI backends and collaborate with a multidisciplinary team.
- Company: Join HM Treasury's innovative Data Hub, shaping the future of agentic AI systems.
- Benefits: Enjoy flexible working hours, generous leave, and a strong pension scheme.
- Other info: Dynamic team culture with opportunities for professional growth and knowledge sharing.
- Why this job: Make a real impact on AI governance while developing your skills in a supportive environment.
- Qualifications: Experience in back end systems and a willingness to learn about AI and data governance.
The predicted salary is between 60670 - 67500 £ per year.
Salary: London: £60,670 - £67,500 / National: £57,670 - £64,500. If the successful candidate is a current Civil Servant joining on level transfer, HM Treasury will honour their current substantive salary if higher.
Contract Type: Temporary up to 12 months/ Loan (potential to become permanent)
Working Pattern: This post is available on a full time, part time or job share basis, and flexible working hours can be accommodated.
Location: London (1 Horse Guards Road) or Darlington (Feethams House)
This role will play a critical part in shaping how HM Treasury designs, builds and governs agentic AI systems.
About the Team
The Data Hub is a centre of excellence for advanced analytics and data management in HM Treasury. Collaborating with partners inside and outside government, we implement the Treasury's data strategy through developing the organisation's data capability and driving data‑led transformation across the department. The Hub also provides strategic coordination and support to teams within the department, bringing data tools and technologies to bear on new and existing data sources. It applies innovative methods to enable rich analysis and support HMT's departmental objectives, delivering new insights and improving decision‑making.
Within the Data Hub, this role will focus on the emerging use of agentic AI systems, working at the intersection of data engineering, AI capability and governance. You will join a multidisciplinary team of data engineers, data scientists and generalists who collaborate closely, value learning and knowledge sharing, and work on products used widely across the organisation.
About the Job
You will lead the technical back end development of agents used across the organisation, ensuring they are reliable, secure, well governed and aligned with departmental standards. The post holder will combine strong data engineering expertise with a good understanding of AI systems, security considerations, and the confidence to work with a wide range of stakeholders to support safe and effective deployment.
Key accountabilities include:
- Design and build the technical back end for agentic AI systems, including data pipelines, orchestration layers and integrations, ensuring solutions are scalable, secure and maintainable.
- Establish and implement governance and technical controls for agentic AI, covering areas such as logging, monitoring, auditability, access control, and safe interaction with data and systems.
- Develop and maintain reusable agent frameworks and services, enabling teams across HM Treasury to deploy specialist agents efficiently and consistently.
- Work closely with security, data protection and architecture colleagues to ensure agentic AI solutions comply with organisational policies and wider government standards.
- Collaborate with policy, analytical and operational teams to understand business needs and translate them into robust technical solutions.
- Provide expert technical advice and guidance on agentic AI and supporting data infrastructure to colleagues across the department.
- Promote good engineering practice, including clear documentation, code quality, testing, and knowledge sharing within the Data Hub and beyond.
- Support capability building across the organisation, helping teams understand how to safely adopt and use agent‑based AI solutions.
About You
We are looking for proven experience in designing and building robust back end systems, such as data pipelines, services or orchestration layers, that are scalable, secure and maintainable as well as having demonstrable experience applying technical governance and controls to complex systems, including areas such as logging, monitoring, audit‑ability, access management and safe interaction with data. We would like you to have the ability to provide credible technical leadership and advice, including explaining complex concepts clearly, promoting good engineering practice, and supporting others to adopt solutions safely and confidently.
Some of the Benefits our people love!
- 25 days annual leave (rising to 30 after 5 years), plus 8 public holidays and the King's birthday (unless you have a legacy arrangement as an existing Civil Servant).
- Additionally, we operate flexitime systems, allowing employees to take up to an additional 2 days off each month.
- Flexible working patterns (part‑time, job‑share, condensed hours).
- Generous parental and adoption leave packages.
- Access to a generous Defined Benefit pension scheme with employer contributions of 28%.
- Access to a cycle‑to‑work salary sacrifice scheme and season ticket advances.
- A range of active staff networks, based around interests (e.g. analysts, music society, sports and social club) and diversity.
For more information about the role and how to apply, please follow the apply link.
Agentic AI Engineer: Build Secure, Governed AI Backends in North East employer: HM TREASURY-1
HM Treasury is an exceptional employer, offering a collaborative and innovative work culture that values learning and knowledge sharing. With flexible working patterns, generous leave entitlements, and a strong commitment to employee growth, you will have the opportunity to shape the future of agentic AI systems while enjoying a supportive environment in the heart of London or Darlington.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic AI Engineer: Build Secure, Governed AI Backends in North East
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at HM Treasury. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Prepare for those interviews! Research common questions for AI engineering roles and practice your answers. We want you to feel confident showcasing your skills and how they align with the job description.
✨Tip Number 3
Show off your projects! If you've worked on relevant AI systems or data pipelines, be ready to discuss them in detail. Real-world examples can really make you stand out from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Agentic AI Engineer: Build Secure, Governed AI Backends in North East
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your relevant experience in building secure, governed AI backends. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise!
Showcase Your Technical Skills:When detailing your experience, focus on your technical skills related to data pipelines, orchestration layers, and governance. We’re keen to see how you’ve applied these in past projects, so be specific about your contributions.
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to explain complex concepts, as we value good communication just as much as technical prowess. Remember, clarity is key!
Apply Through Our Website:Don’t forget to submit your application through our official website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at HM TREASURY-1
✨Know Your AI Systems
Make sure you brush up on your knowledge of agentic AI systems and their governance. Be ready to discuss how you've designed and built back end systems in the past, focusing on scalability and security. This will show that you understand the technical requirements of the role.
✨Showcase Your Collaboration Skills
Since this role involves working closely with various teams, be prepared to share examples of how you've collaborated with stakeholders in previous projects. Highlight your ability to translate complex technical concepts into clear, actionable insights for non-technical colleagues.
✨Demonstrate Your Problem-Solving Ability
Think of specific challenges you've faced in your previous roles related to data engineering or AI systems. Be ready to explain how you approached these problems, the solutions you implemented, and the outcomes. This will illustrate your critical thinking and adaptability.
✨Emphasise Continuous Learning
The job description mentions a willingness to learn as you go. Share instances where you've had to pick up new skills or adapt to new technologies quickly. This will show that you're not just qualified but also eager to grow within the role.
