At a Glance
- Tasks: Lead the Agent Platform team, designing and maintaining high-quality AI systems.
- Company: Join Google DeepMind, a pioneering AI lab transforming technology for global challenges.
- Benefits: Competitive salary, diverse career pathways, and a culture of innovation.
- Other info: Embrace a collaborative environment focused on ethical AI and public benefit.
- Why this job: Make a real impact in AI development while leading a dynamic team.
- Qualifications: 8 years in software development, with leadership experience and expertise in LLMs.
The predicted salary is between 80000 - 100000 € per year.
Minimum qualifications:
- Bachelor's degree in Computer Science or a related technical field or equivalent practical experience.
- 8 years of experience in software development, including distributed systems architecture and distributed systems design.
- 2 years of experience managing or leading technical teams.
- Experience in software development using general-purpose programming languages (e.g., Python, Go, Java, or C++).
- Experience with LLMs including agent development, evaluation frameworks, advanced prompt engineering.
Preferred qualifications:
- Experience in Site Reliability Engineering (SRE) or building safe, predictable, reliable systems.
- Experience in a startup environment with an ability to move with urgency, adapt to changing requirements, and do "whatever is needed" to achieve the mission.
- Experience managing critical dependencies and partnerships with Google infra teams (TPU/Compute infrastructure).
- Track record of building and maintaining infrastructure systems.
- Ability to take ambiguous organizational problems and turn them into simple, elegant technical solutions.
About The Job:
As the Lead for the Agent Platform team, you will be part of Google DeepMind (GDM’s) transformation into an AI-first organization. You will balance technical contributions with strategic management. You will lead a growing nimble, high-density team of currently 4 Executive Software Engineers, while remaining personally embedded in the codebase—spending 30–50% of your time designing and committing code. You will navigate Google/GDM infrastructure, and build bridge-technologies that turn research into production-grade agentic systems. Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Responsibilities:
- Design, build, and maintain the Agent Platform, to ensure high-quality delivery.
- Lead on critical systems, ensuring the platform is high-quality, scalable, and reduces toil across functional lines.
- Develop and communicate a technical strategy that addresses orchestration, tool‑use infra, and sandboxing.
- Invest in growth of the SWE team, providing coaching and feedback while fostering a culture of technical excellence and "AI-first" innovation.
- Act as the primary technical point-of-contact for teams building on the platform and navigate upstream dependencies across Google and GDM to remove barriers to productivity.
- Lead the team through GDM’s pivot toward an innovation center, ensuring work aligns with the broader mission of scaling intelligent workflows across the organization.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Senior Engineering Lead, Organizational Engineering Agent Platform, DeepMind employer: Google DeepMind
At Google DeepMind, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our Senior Engineering Lead role offers the unique opportunity to work at the forefront of AI technology in a dynamic environment, where employee growth is supported through continuous learning and mentorship. With a commitment to ethical practices and a focus on impactful projects, our teams are empowered to drive meaningful change while enjoying the benefits of a diverse and inclusive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineering Lead, Organizational Engineering Agent Platform, DeepMind
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A personal connection can often get you a foot in the door faster than any application.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to distributed systems or LLMs. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. Use mock interviews with friends or online platforms to sharpen your responses and boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Engineering Lead, Organizational Engineering Agent Platform, DeepMind
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 8 years of software development experience and any leadership roles you've had. We want to see how your background aligns with the role, especially in distributed systems and programming languages like Python or Java.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific qualifications and responsibilities mentioned in the job description. This shows us you’re genuinely interested in the position and understand what we’re looking for.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your achievements and skills. We appreciate straightforward communication!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. 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 Google DeepMind
✨Know Your Tech Inside Out
Make sure you’re well-versed in the programming languages mentioned, like Python or Java. Brush up on your knowledge of distributed systems architecture and design, as these are crucial for the role. Being able to discuss your past experiences with LLMs and agent development will definitely give you an edge.
✨Showcase Your Leadership Skills
Since this position involves managing a technical team, be prepared to share examples of how you've successfully led teams in the past. Highlight your experience in coaching and fostering a culture of excellence. They’ll want to see that you can balance technical contributions with strategic management.
✨Demonstrate Problem-Solving Abilities
Be ready to tackle hypothetical scenarios where you need to turn ambiguous problems into elegant solutions. Think about past challenges you've faced and how you approached them. This will show your ability to navigate complex issues and deliver results.
✨Align with Their Mission
Research Google DeepMind’s mission and values, especially their focus on AI for public benefit and ethical considerations. During the interview, express how your personal values align with theirs and how you can contribute to their goal of scaling intelligent workflows across the organisation.
