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 with a mission to improve the world.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to work on cutting-edge AI solutions across EMEA and APAC.
- Why this job: Be at the forefront of AI innovation and make a real impact on global businesses.
- Qualifications: Bachelor's degree in a relevant field and 6 years of experience in software development or engineering.
The predicted salary is between 70000 - 85000 £ per year.
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, No SQL).
- 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
About the job
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.
Google creates products and services that make the world a better place, and g Tech’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.
To learn more about g Tech, check out our video.
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 Gen AI 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.
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.
See also Google's EEO Policy and EEO is the Law.
If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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Senior Product Solutions Engineer, GenAI employer: WeAreTechWomen
At Accenture, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London office provides unparalleled opportunities for professional growth, with access to cutting-edge AI technologies and the chance to work alongside industry leaders. We are committed to your development, ensuring you have the resources and support needed to thrive in your role as a Senior Manager/Associate Director in AI architecture.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Solutions Engineer, GenAI
✨Join Local Tech Meetups
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We think you need these skills to ace Senior Product Solutions Engineer, GenAI
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 WeAreTechWomen.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at WeAreTechWomen 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 WeAreTechWomen
✨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 WeAreTechWomen 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.