Staff Software Engineer, Gen AI, Blackbelt Team

Google; Sunnyvale (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google seeks a Generative AI Specialist to partner with Product Development and Technical Sales, guiding customers through AI architectures and building AI-powered applications on Google Cloud. You will help customers understand models, APIs, and architectures, coordinating with teams to drive adoption and success.

The role emphasizes leadership in ML design, deployment, and evaluation, with opportunities to influence multiple industries and scale AI solutions globally.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of software development experience.
• 5 years testing and launching software products; 3 years design/architecture.
• 5 years leading ML design and optimizing ML infra.
• 2 years GenAI techniques or related concepts.
• 2 years as Technical Solution Architect in cloud env or customer facing.

Responsibilities

• Lead AI and ML initiatives with product development and technical sales teams.
• Define enterprise architectures and integration strategies for Google Cloud.
• Provide AI expertise to support customer engagements and demos.
• Collaborate with product management to prioritise customer adoption.
• Travel to customer sites and events as needed.

Skills

Team leadership

ML design experience

AI industry awareness

Education

Bachelor's degree or equivalent practical experience

Master’s or PhD in Engineering/CS or related field

8 years software development experience

8 years data structures & algorithms

3 years technical leadership

2 years GenAI techniques or related concepts

2 years as a Technical Solution Architect in cloud

Experience building AI/ML solutions & MLOps (Kubeflow)

Tools

Kubeflow

Cloud platforms

Job description

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; New York, NY, USA.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 2 years of experience with GenAI techniques (e.g., LLMs, multi-modal, large vision models) or with GenAI-related concepts (e.g., language modeling, computer vision).
• 2 years of experience as a Technical Solution Architect in a cloud computing environment, or in a customer-facing role.

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 complex, matrixed organization involving cross-functional, or cross-business projects.
• Experience building AI and machine learning solutions, machine learning operation frameworks like Kubeflow, and leveraging specific machine learning architectures (e.g., deep learning, LSTM, etc.).
• Understanding of AI models, large language models, and AI specialized infrastructure as it relates to AI trends and issues within businesses.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

As a Generative Artificial Intelligence (AI) Specialist, you will work with Product Development and Technical Sales teams as an Generative AI subject matter expert to bring Google Cloud AI products to customers and partners.

In this role, you will help prospective customers and partners understand the power of Google AI, explaining technical features, helping customers design architectures, build AI powered applications, and problem-solving any potential roadblocks. You will also have the opportunity to help customers leverage Google Cloud’s Generative AI services, including large language models and specialized Machine Learning (ML) hardware developed by Google.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
• Provide AI expertise to support the technical relationship with Google’s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud.
• Support developers, creators, and enterprises to leverage Google’s Generative Language APIs so they can build their own AI products in the future.
• Travel to customer sites, conferences, and other related events as needed.

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 .