Principal Software Engineer (Python, AI)

Principal Software Engineer (Python, AI)

Full-Time 80000 - 100000 € / year (est.) Home office (partial)
Diligent

At a Glance

  • Tasks: Lead AI platform architecture and mentor senior engineers in a dynamic tech environment.
  • Company: Join Diligent, a global leader in innovative tech solutions with a collaborative culture.
  • Benefits: Enjoy flexible work, comprehensive health benefits, generous time off, and wellness programs.
  • Other info: Diverse and inclusive workplace with excellent career growth opportunities.
  • Why this job: Shape the future of AI technology while making a real impact across multiple teams.
  • Qualifications: 10+ years in software engineering with strong AWS and AI governance expertise.

The predicted salary is between 80000 - 100000 € per year.

Role Overview

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 β€” in production today β€” 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. 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.

Responsibilities

  • Shape engineering strategy with broad organizational impact β€” 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 β€” 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 β€” educate engineering teams on model behavior, 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.

Required Qualifications

  • 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.
  • 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 β€” Terraform or CDK preferred β€” 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 β€” RAG pipelines, agentic frameworks, LLM orchestration, or similar β€” 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 β€” bias and privacy checks in pipelines, audit-ready monitoring, AI usage policies β€” not just read about it.
  • API design and backend platform delivery. Proven track record designing and shipping RESTful APIs and backend platform components using Node.js/TypeScript.
  • Org-level communication and influence. You can align stakeholders on complex technical decisions, run architecture forums, and mentor other senior technical leaders.

Desired Qualifications

  • 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 β€” either running them or playing a leading role.
  • Experience optimizing cost and performance for data and AI-heavy workloads at scale, including capacity planning and infrastructure tuning.
  • Leadership of major modernisation efforts β€” legacy migration to serverless, multi-region architecture, or platform consolidation across product lines.
  • A public technical presence β€” conference talks, open-source contributions, published writing β€” that demonstrates thought leadership beyond your current organization.

Benefits

Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently 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 programs 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.

Location & Working Model

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.

EEO Statement

We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, 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) employer: Diligent

Diligent is an exceptional employer that fosters a culture of creativity and innovation, making it an ideal place for a Principal Software Engineer to thrive. With a flexible work environment, comprehensive health benefits, and a strong commitment to diversity, employees are empowered to grow and make meaningful contributions. The opportunity to shape the future of AI-enabled platforms while mentoring senior engineers in a collaborative global team further enhances the rewarding experience of working at Diligent.

Diligent

Contact Detail:

Diligent Recruiting Team

StudySmarter Expert Advice🀫

We think this is how you could land Principal Software Engineer (Python, AI)

✨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! Create a portfolio showcasing your past projects, especially those involving AI and AWS. This will give potential employers a taste of what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your architectural decisions and how you've led teams in the past. Confidence is key!

✨Tip Number 4

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

We think you need these skills to ace Principal Software Engineer (Python, AI)

AWS Architecture
Serverless Systems Design
AI Governance Implementation
Infrastructure as Code (Terraform, CDK)
Production AI Systems Experience
RESTful API Design
Backend Platform Delivery

Some tips for your application 🫑

Show Off Your Experience:When you're writing your application, make sure to highlight your experience at the Principal or Staff Engineer level. We want to see those specific platform decisions you've made that are currently in production. Don't be shy about showcasing your achievements!

Be Clear About Your AI Expertise:Since this role is all about AI, make sure you clearly outline your experience with AI systems. Talk about the projects you've led, the architectural decisions you've made, and how you've implemented AI governance. We love a good story about your journey in AI!

Tailor Your Application:Take the time to tailor your application to our job description. Use the same language and keywords we’ve used. This shows us that you understand what we're looking for and that you're genuinely interested in the role. It’s all about making that connection!

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy to do!

How to prepare for a job interview at Diligent

✨Know Your Stuff

Make sure you have a solid grasp of the technical aspects mentioned in the job description. Brush up on your AWS expertise, serverless architectures, and AI governance practices. Be ready to discuss specific projects where you've made architectural decisions and how they impacted the platform.

✨Showcase Your Leadership

This role is all about influence and mentorship. Prepare examples of how you've led teams or initiatives in the past. Think about times when you had to make tough calls and how you aligned stakeholders with competing priorities. Highlight your experience in architecture forums or tech councils.

✨Be Ready for Technical Discussions

Expect deep dives into architectural discussions during the interview. Prepare to articulate trade-offs around performance, security, and maintainability. Have a few scenarios in mind where you’ve had to balance these factors and how you reached a consensus with your team.

✨Demonstrate Your AI Knowledge

Since this role involves AI systems, be prepared to discuss your hands-on experience with AI-enabled platforms. Talk about the challenges you faced, the governance measures you implemented, and how you ensured compliance and ethical considerations were met in production environments.