At a Glance
- Tasks: Design and deploy cutting-edge AI solutions to solve real-world customer challenges.
- Company: Join Google, a leader in innovative technology and AI development.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to work on diverse projects.
- Why this job: Be at the forefront of AI technology and make a real impact on customer success.
- Qualifications: Extensive experience in software development and machine learning required.
The predicted salary is between 80000 - 100000 € per year.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 8 years of experience testing and launching software products.
- 3 years of experience with software design and architecture.
- 8 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 8 years of experience with one or more of the following: Speech/audio, reinforcement learning, ML infrastructure, or specialisation in another ML field.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- 8 years of experience in a technical leadership role leading project teams and setting technical direction.
About the job:
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
As a Forward Deployed Developer (FDE), you will be at the forefront of applying Google's Generative AI to solve real-world issues for customers. You will act as a specialized software engineer embedded with key accounts, working to build, deploy, and optimize sophisticated AI agents on our Customer Engagement Suite (CES) platform. You will bridge the gap between core product developing teams and customer needs, directly accelerating customer success and shaping the future of AI products.
The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience, along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.
Responsibilities:
- Partner directly with customers to understand their business issues while designing, co-developing, debugging, and deploying custom conversational AI agents and solutions to accelerate their time to value.
- Systematize insights from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices for organisation-wide use.
- Act as a problem solver, empowered to write bespoke code, develop custom tooling, and even contribute directly to the core product codebase to resolve critical customer issues.
- Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.
Senior Staff Applied AI Agent Engineer, GCP in London employer: Google
At Google, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Senior Staff Applied AI Agent Engineer, you will have the opportunity to work on cutting-edge projects in a fast-paced environment, with access to unparalleled resources for professional growth and development. Our commitment to employee well-being is reflected in our comprehensive benefits package and the chance to make a meaningful impact by solving real-world problems through advanced AI technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Staff Applied AI Agent Engineer, GCP in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to AI and software engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 3
Show off your projects! Whether it's a GitHub repo or a personal website, having a portfolio of your work can really set you apart. We love seeing real-world applications of your skills!
✨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’re always looking for fresh talent to join our team!
We think you need these skills to ace Senior Staff Applied AI Agent Engineer, GCP in London
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 8 years of software development experience and any specific projects you've worked on that relate to AI. We want to see how your background aligns with the role, so don’t hold back!
Tailor Your Application:Customise your CV and cover letter to reflect the job description. Use keywords from the posting, especially around ML design and architecture, to show us you’re a perfect fit for the Senior Staff Applied AI Agent Engineer role.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s relevant. Make it easy for us to see your qualifications and why you’re excited about this opportunity.
Apply Through Our Website:We encourage you 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’s super easy!
How to prepare for a job interview at Google
✨Know Your Stuff
Make sure you brush up on your software development and machine learning knowledge. Given the role's focus on AI, be prepared to discuss your experience with ML design, model deployment, and debugging. Have specific examples ready that showcase your expertise in these areas.
✨Showcase Your Leadership Skills
Since this position requires technical leadership, think of instances where you've led project teams or set technical direction. Be ready to share how you motivated your team, resolved conflicts, and drove projects to success. This will demonstrate your ability to take charge in a fast-paced environment.
✨Understand Customer Needs
As you'll be partnering with customers, it's crucial to show that you can empathise with their challenges. Prepare to discuss how you've previously engaged with clients to understand their issues and how you developed tailored solutions. This will highlight your problem-solving skills and customer-centric approach.
✨Be Ready for Technical Questions
Expect in-depth technical questions related to data structures, algorithms, and ML infrastructure. Brush up on these topics and practice explaining complex concepts clearly. This will not only show your technical prowess but also your ability to communicate effectively, which is key in this role.
