At a Glance
- Tasks: Design and deploy cutting-edge AI solutions to solve real-world customer challenges.
- Company: Join Google Cloud, a leader in innovative technology and AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with dynamic projects and career advancement opportunities.
- Why this job: Be at the forefront of AI development and make a real impact on customer success.
- Qualifications: Experience in software development, AI, and leadership roles preferred.
The predicted salary is between 80000 - 100000 £ per year.
Qualifications
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience testing and launching software products.
- 3 years of experience with software design and architecture.
- 5 years of experience with one or more of the following: Speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
- 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
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.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a structured organization involving cross‑functional or cross‑business projects.
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 our customers. You will act as a specialized software engineer embedded with key accounts, working to build, deploy, and optimize sophisticated Artificial Intelligence (AI) agents on our Customer Engagement Suite (CES) platform. You will bridge the gap between our core product developing teams and customer needs, directly accelerating customer success and shaping the future of our 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.
- Design, co‑develop, debug, and deploy custom conversational AI agents and solutions to accelerate their time to value.
- Systematize the learnings from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices that can be used across the organization.
- 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.
Staff Applied AI Agent Engineer, Google Cloud Platform employer: Google
At Google, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. As a Staff Applied AI Agent Engineer, you will have the opportunity to work on cutting-edge projects in a fast-paced environment, with access to extensive 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 challenges through advanced AI technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Applied AI Agent Engineer, Google Cloud Platform
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those at Google or similar companies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and software development. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. Use platforms like StudySmarter to brush up on your knowledge and get comfortable with problem-solving on the spot.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Staff Applied AI Agent Engineer, Google Cloud Platform
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 or ML. We want to see how your background aligns with the role, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for this role. Mention specific technologies or methodologies from the job description that you’ve worked with, like reinforcement learning or ML infrastructure. It shows us you’re serious about this opportunity!
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 qualifications and experiences. We appreciate a well-structured application!
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 Google
✨Know Your Stuff
Make sure you brush up on your technical knowledge, especially around AI, ML infrastructure, and software design. Be ready to discuss your past projects in detail, focusing on how you tackled challenges and what technologies you used.
✨Showcase Your Leadership Skills
Since the role involves technical leadership, prepare examples of how you've led project teams or set technical direction. Highlight your experience in cross-functional projects and how you’ve collaborated with different teams to achieve success.
✨Understand Customer Needs
As a Forward Deployed Developer, you'll be working closely with customers. Think about how you can demonstrate your ability to understand and address customer issues. Prepare to discuss any past experiences where you’ve successfully partnered with clients to deliver solutions.
✨Be Ready for Problem-Solving
Expect to face some technical challenges during the interview. Practice coding problems and be prepared to think on your feet. Show your problem-solving process clearly, as this will demonstrate your ability to write bespoke code and develop custom tooling.
