At a Glance
- Tasks: Design and deploy custom AI solutions to solve real-world customer challenges.
- Company: Join Google, a leader in innovative technology and AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with exciting projects and career advancement opportunities.
- Why this job: Be at the forefront of AI technology and make a significant impact.
- 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, and 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 specialization 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.
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 Staff Applied AI Agent Engineer, GCP employer: Google
At Google, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our engineers to innovate and lead in the rapidly evolving field of AI. As a Senior Staff Applied AI Agent Engineer, you will have unparalleled opportunities for professional growth, collaborating with top-tier talent on cutting-edge projects that directly impact millions of users worldwide. Our commitment to employee development, coupled with a focus on work-life balance and diversity, makes Google an exceptional employer for those seeking meaningful and rewarding careers in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Staff Applied AI Agent Engineer, GCP
✨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
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and ML. We want to see what you can do, so make it easy for us to find your best work.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Staff Applied AI Agent Engineer, GCP
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 skills and qualifications mentioned in the job description. Use keywords from the listing to show us you’re a perfect fit for the Senior Staff Applied AI Agent Engineer position.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant to the role. Make it easy for us to see why you’re the right candidate!
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. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Google
✨Know Your Stuff
Make sure you brush up on your software development and ML design knowledge. Be ready to discuss your experience with model deployment, evaluation, and debugging. They’ll want to hear about specific projects you've worked on, so have some examples ready that showcase your skills.
✨Showcase Your Leadership Skills
Since this role involves technical leadership, be prepared to talk about your experience leading project teams. Share examples of how you've set technical direction and guided others in their work. Highlight any instances where you’ve had to solve complex problems or make critical decisions.
✨Understand the Customer Perspective
This position is all about bridging the gap between product development and customer needs. Think about how you can demonstrate your ability to partner with customers and understand their business issues. Prepare to discuss how you've previously designed or co-developed solutions that directly addressed customer challenges.
✨Be Ready for Technical Questions
Expect to face some tough technical questions during your interview. Brush up on data structures, algorithms, and any relevant ML infrastructure topics. Practise explaining complex concepts in a simple way, as you may need to communicate these ideas to non-technical stakeholders.
