Senior Technical Solutions Consultant, gUP Gemini Apps

Google Inc.; Greater London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading tech company in London seeks a Senior Technical Solutions Consultant to drive relationships with key clients and oversee AI product improvements. You will lead teams in technical execution for generative AI and machine learning projects while leveraging emerging technologies. Ideal candidates will have extensive experience in technical consulting, troubleshooting, and stakeholder management, with a solid understanding of programming languages like Java, C++, and Python. Proficiency in English is required.

Qualifications

• 5 years of experience troubleshooting technical issues for internal/external partners or customers.
• Experience in either system design or reading code (Java, C++, Python).
• Ability to work on multiple projects simultaneously.

Responsibilities

• Build high-value use cases and troubleshoot issues related to model performance.
• Partner with Google DeepMind Engineering and other teams.
• Explore and assess methodologies for measuring performance of Generative AI models.

Skills

Troubleshooting technical issues

Stakeholder management

Technical consulting

Java

C++

Python

Communication skills

Presentation skills

Education

Bachelor’s degree or equivalent practical experience

Master’s degree in Engineering or related field

Tools

Machine Learning frameworks

Generative AI tools

Job description

Senior Technical Solutions Consultant, gUP Gemini Apps

London, UK – Google

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience troubleshooting technical issues for internal/external partners or customers.
• 5 years of experience in stakeholder management, professional services or technical consulting.
• Experience in either system design or reading code (e.g., Java, C++, Python).

Preferred Qualifications

• Master’s degree in Engineering, Computer Science, Business, or a related field or equivalent practical experience.
• Experience launching and scaling user-facing, production quality partner integrations.
• Experience working with Machine Learning and Generative AI applications (e.g., deep learning, natural language processing, computer vision, pattern recognition), applied ML techniques, or using OSS frameworks.
• Ability to navigate ambiguity, scope and manage multiple projects simultaneously and solve technical problems separately.

Excellent communication and presentation skills, with the ability to explain technical topics to both engineers and business stakeholders.

About the job

Within gUP, the Machine Learning (ML) Data Services team delivers scalable, high-quality data solutions that are foundational to numerous critical AI initiatives across Google. We partner closely with Google DeepMind and other Engineering teams to bring the best Generative AI Models (GenAI) to market. We seek entrepreneurial, detail-oriented individuals driven to launch Google’s AI/ML products.

As a Senior Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients or product partners. You will lead cross‑functional teams to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms or product partnerships.

In this role, you will serve as the primary expert, responsible for designing and delivering top‑notch GenAI Core Models while actively driving product improvements as a key user advocate. You will possess an understanding of Large Language Models (LLMs) and Data Services and will collaborate directly with our Engineering teams to enhance our products and services. You will also pioneer new methodologies for measuring the performance, quality, and safety of Generative AI models.

Responsibilities

• Build high‑value use cases and troubleshoot issues related to model performance and infrastructure, leveraging the latest Gemini Model capabilities.
• Contribute to the evolution of Gemini Models by shaping future capabilities and defining the roadmap for developer tools and cool models.
• Partner with Google DeepMind Engineering, Program Management and Product Operations teams to prioritize and deliver solutions that measurably impact Generative AI model quality and performance across Google’s product offerings.
• Explore, create, and assess novel methodologies for accurately measuring and evaluating the performance of Generative AI models.
• Stay current on industry trends, the latest machine learning research, tools, and advanced techniques.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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