At a Glance
- Tasks: Lead the design of AI-enabled systems and shape engineering strategy across teams.
- Company: Join Diligent, a leader in AI governance and compliance solutions.
- Benefits: Flexible work environment, comprehensive health benefits, and generous time off.
- Why this job: Make a real impact on innovative AI projects and mentor future tech leaders.
- Qualifications: 10+ years in software engineering with strong AWS and AI expertise.
- Other info: Dynamic culture that values creativity, diversity, and continuous learning.
The predicted salary is between 72000 - 108000 £ per year.
Here's a summary of the role: This is a principal-level role for someone who has already operated at Staff or Principal Engineer level in a sizeable engineering organization and can point to specific platform decisions — in production today — that they own. You'll set the technical direction for our AI-enabled platform: architecting secure, scalable, serverless systems on AWS, defining the patterns and governance practices that multiple teams adopt, and guiding where AI genuinely adds value across the stack.
Your leverage comes from the systems, architectures, and standards you put in place — not from individual output. You'll mentor senior engineers, lead org-wide design decisions, and be the person other technical leaders turn to when the hard calls need to be made. You'll still write code, but that's not where your impact is measured.
If you've led complex platform or AI initiatives at scale, have strong opinions about AI governance in production systems, and want the scope to shape an entire platform's future, this is that role.
Here's a breakdown of what you'll do (not all of it, just the important stuff):
- Shape engineering strategy with broad organizational impact — you'll influence long-term architectural direction across multiple teams and products, not just within your own squad.
- Drive platform evolution by identifying cross-cutting pain points and leading the design of secure, scalable, reusable solutions built on AWS and modern serverless and microservice patterns.
- Lead architectural discussions and design reviews where the stakes are real — making clear trade-offs around performance, security, reliability, and maintainability, and getting alignment across teams with competing priorities.
- Own AI architectural decisions end-to-end: design AI-enabled systems with built-in governance, monitoring, and regulatory readiness baked in from the start, not retrofitted. Define where AI adds genuine value and where it doesn't.
- Act as the organization's AI thought leader — educate engineering teams on model behaviour, agentic systems, and responsible AI practices, and raise the overall maturity of how we design and deploy AI.
- Mentor and stretch senior and staff engineers, building technical leadership depth across the organisation and holding a high bar for engineering standards.
These are the essentials you'll need to get an interview:
- Principal-level track record at scale. 10+ years of software engineering experience, including at least 3 years' operating at Staff or Principal Engineer level in an organization of 100+ engineers. You've led large, complex platform or AI initiatives where you were the decision-maker, not a contributor.
- Deep, opinionated AWS platform expertise. You've designed multi-account AWS architectures and made the call on when serverless is the wrong choice. You work fluently with Infrastructure as Code — Terraform or CDK preferred — and have strong views on observability, resilience, and security that you've translated into org-wide patterns.
- Production AI systems experience. You've shipped AI-enabled systems — RAG pipelines, agentic frameworks, LLM orchestration, or similar — into production and can discuss the architectural decisions, failure modes, and trade-offs involved.
- AI governance in practice. You've defined and implemented AI governance in real production environments — bias and privacy checks in pipelines, audit-ready monitoring, AI usage policies — not just read about it. This is essential, not a bonus.
- API design and backend platform delivery. Proven track record designing and shipping RESTful APIs and backend platform components using Node.js/TypeScript. You understand frontend concerns well enough to set API contracts that serve product teams effectively, even if you're not writing React day-to-day.
- Org-level communication and influence. You can align stakeholders on complex technical decisions, run architecture forums, and mentor other senior technical leaders. You're as comfortable in a board-level conversation as you are in a design review.
It would be great if you had these too, but we'll support you if you don't:
- Experience building platform components or SDKs that multiple product teams depend on, including the documentation and enablement work that makes them adoptable.
- Involvement in architecture forums, tech councils, or similar bodies that define org-wide standards — either running them or playing a leading role.
- Experience optimising cost and performance for data and AI-heavy workloads at scale, including capacity planning and infrastructure tuning.
- Leadership of major modernisation efforts — legacy migration to serverless, multi-region architecture, or platform consolidation across product lines.
- A public technical presence — conference talks, open-source contributions, published writing — that demonstrates thought leadership beyond your current organisation.
About Us: Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
At Diligent, we're building the future with people who think boldly and move fast. Whether you're designing systems that leverage large language models or part of a team reimagining workflows with AI, you'll help us unlock entirely new ways of working and thinking. Curiosity is in our DNA, we look for individuals willing to ask the big questions and experiment fearlessly - those who embrace change not as a challenge, but as an opportunity. The future belongs to those who keep learning, and we are building it together.
At Diligent, you're not just building the future - you're an agent of positive change, joining a global community on a mission to make an impact. Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be different both in our internal processes and to help our clients.
We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting-free days, generous time off policy and wellness programmes to name a few.
We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
We are a drug-free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, colour, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer-related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws.
We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.
Principal Software Engineer (Python, AI) London, England, United Kingdom employer: Diligent Corporation
Contact Detail:
Diligent Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Software Engineer (Python, AI) London, England, United Kingdom
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Principal Software Engineer role.
✨Tip Number 2
Show off your expertise! Prepare a portfolio or case studies showcasing your past projects, especially those involving AI and AWS. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your answers. Focus on articulating your architectural decisions and how you've led teams in previous roles.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it gives you a direct line to our recruitment team, making it easier for us to spot your application.
We think you need these skills to ace Principal Software Engineer (Python, AI) London, England, United Kingdom
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Principal Software Engineer role. Highlight your experience with AWS, AI systems, and any leadership roles you've held. We want to see how your background aligns with our needs!
Showcase Your Impact: When detailing your past projects, focus on the impact you made rather than just the tasks you completed. We’re looking for someone who has shaped engineering strategies and made significant architectural decisions, so let that shine through!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to see your key achievements and skills. Remember, we appreciate clarity as much as complexity in your work!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised!
How to prepare for a job interview at Diligent Corporation
✨Know Your Stuff
Make sure you have a solid grasp of AWS and AI concepts. Be ready to discuss your past experiences with designing multi-account AWS architectures and how you've implemented AI governance in production systems. Specific examples will show that you’re not just familiar with the theory but have practical experience.
✨Showcase Your Leadership
This role is all about influence and mentorship. Prepare to talk about how you've led architectural discussions and made tough decisions in previous roles. Highlight instances where you’ve mentored other engineers or influenced cross-team strategies, as this will demonstrate your capability to lead at a principal level.
✨Be Ready for Technical Deep Dives
Expect to dive deep into technical discussions during the interview. Brush up on your knowledge of serverless systems, microservices, and API design. Be prepared to discuss trade-offs around performance, security, and maintainability, as these are crucial aspects of the role.
✨Communicate Clearly
Strong communication skills are key for this position. Practice articulating complex technical concepts in a way that’s easy to understand. You might be asked to explain your thought process behind certain architectural decisions, so clarity and confidence in your explanations will go a long way.