At a Glance
- Tasks: Support partners in adopting Google’s Generative AI technologies and provide expert technical guidance.
- Company: Join Google, a leader in innovation and technology, making the world a better place.
- Benefits: Competitive salary, career advancement, and the chance to work on groundbreaking AI solutions.
- Other info: Dynamic role with opportunities for professional growth and collaboration with strategic partners.
- Why this job: Be at the forefront of the AGI revolution and make a real impact globally.
- Qualifications: Bachelor’s degree in a relevant field and 6 years of experience in software development or AI solutions.
The predicted salary is between 70000 - 90000 £ per year.
hackajob is collaborating with Google to connect them with exceptional professionals for this role. In this role, you will support the adoption of Google's Generative AI technologies with highly strategic partners across the EMEA and APAC regions. You will be pivotal in providing expert technical guidance and fostering innovation as partners implement AI solutions using Gemma (Gemini Open Models), Gemini ER Models via AI Studio. This will include running simulations, conducting 1:1 partner consultations, and facilitating brainstorming sessions to unlock the potential of our LLM models for business applications. You will be at the forefront of the Artificial General Intelligence (AGI) revolution, directly enabling businesses worldwide to leverage Google's models, and to significantly advance your career with products and skills. Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.
Minimum qualifications:
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 6 years of experience in computer engineering, software development, or building technical tools, including creating solutions by writing code.
- Experience working with systems (e.g., Linux, Unix, Windows).
- Experience using machine learning and building AI solutions.
- Experience with Robotics Engineering.
Preferred qualifications:
- Master’s degree in Engineering, Computer Science, Business, or a related field.
- Experience in an analytical role such as business intelligence, data analytics, or statistics.
- Experience working with database technologies (e.g., SQL, NoSQL).
- Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering.
- Experience with data analysis and problem-solving.
Responsibilities:
- Provide expert technical guidance on API integration, model customization (where applicable), prompt engineering, and solution architecture for partner projects.
- Create simulations for Robotics models in AI Studio as well as showcase capabilities for Robotics using Gemini (ER) Models.
- Conduct 1:1 technical consultation and brainstorming sessions with strategic partners to guide them in developing innovative solutions using Google's GenAI Models and Tools.
- Develop and share technical resources, sample code, and best practice documentation to accelerate partner adoption and success.
- Gather, synthesize, and relay partner feedback, use cases, and technical requirements to internal Google product and engineering teams to influence future development.
Senior Product Solutions Engineer, GenAI in London employer: Google
Google is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among its employees. With a strong commitment to professional development, team members have access to numerous growth opportunities and resources to enhance their skills. Working remotely in the UK allows for a flexible work-life balance while being part of a globally recognised leader in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Solutions Engineer, GenAI in London
✨Join Local Tech Meetups
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We think you need these skills to ace Senior Product Solutions Engineer, GenAI in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Google.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Google and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Google
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Google uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
