Staff Gen AI Engineer & ML Systems Architect

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

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.