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, remote work options, and opportunities for professional growth.
- Other info: Collaborative environment with dynamic projects and career advancement.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: 8 years in software development and expertise in machine learning.
The predicted salary is between 80000 - 100000 € per year.
Location: London, United Kingdom
Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
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 (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), 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 (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), 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 employer: Fitbit
At Google, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to innovate and excel. As a Senior Staff Applied AI Agent Engineer in London, you will have the opportunity to work on cutting-edge AI technologies while collaborating with diverse teams and leading impactful projects. With a strong focus on professional growth, we offer numerous resources for skill development and career advancement, making Google an exceptional employer for those seeking meaningful and rewarding work.
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. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AI and ML. 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 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 by the right people. Plus, we love seeing candidates who are proactive!
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 experience in software development and ML design. We want to see how you've tackled complex problems and influenced stakeholders in your previous roles.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences that match the job description. We love seeing candidates who take the time to connect their background with our needs.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and achievements without wading through fluff.
Apply Through Our Website:Remember to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Fitbit
✨Know Your Stuff
Make sure you brush up on your technical knowledge, especially around ML design and infrastructure. Be ready to discuss your experience with model deployment, evaluation, and debugging. They’ll want to see that you can not only talk the talk but also walk the walk.
✨Showcase Your Leadership Skills
Since this role involves technical leadership, prepare examples of how you've led project teams in the past. Think about specific challenges you faced and how you influenced stakeholders to achieve successful outcomes. This will demonstrate your ability to guide others and set technical direction.
✨Understand Customer Needs
As a Forward Deployed Developer, you'll be working closely with customers. Familiarise yourself with common business issues they face and think about how your skills can help solve these problems. Being able to articulate how you can bridge the gap between product development and customer needs will set you apart.
✨Prepare for Problem-Solving Questions
Expect to tackle some ambiguous problems during the interview. Practice thinking aloud as you work through solutions to complex scenarios. This will showcase your problem-solving abilities and your approach to tackling real-world issues, which is crucial for this role.
