Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 10 years of experience in a technical role focused on artificial intelligence and machine learning.
• 5 years of experience in a leadership role managing customer-facing technical teams.
• Experience in one or more of the following domains: Generative AI, Natural Language Processing (NLP), Computer Vision, or Machine Learning Operations (MLOps).
• Active or the ability to obtain Top Secret security clearance.

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related field with a focus on AI/ML.
• Experience with Google Cloud's AI and machine learning products (e.g., Gemini for Government, Vertex AI, BigQuery ML, and other AI services).
• Experience working with public sector customers (Federal, State, Local, and Education).
• Understanding of responsible AI principles and their application in regulated environments.
• Ability to lead and execute complex, customer-facing technical engagements such as Proof-of-Concepts and deep architectural reviews.
• Excellent communication and presentation skills with the ability to convey complex technical concepts to audiences.

About the job
The Rapid Innovation and Specialist Engineering (RISE) team serves as the premier nexus of deep technical mastery and rapid innovation for the public sector. Our goal is to be the definitive benchmark for technical expertise, solving the world's most complex mission challenges through the transformative power of Google's culture. By integrating expertise in AI, Data, and the Google Security portfolio, we empower agencies to solve their most difficult problems today while engineering the mission solutions of tomorrow.

As the Applied AI, you will lead a team of deep technical experts who are instrumental in achieving this mission.

Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.

The US base salary range for this full-time position is $186,000-$261,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Lead, manage, and mentor the Applied AI and Machine Learning specialist engineering team within the RISE organization.
• Drive customer success through advanced technical demonstrations, Proof of Concepts (PoCs), and architectural guidance for complex, mission-critical AI issues.
• Define and execute the technical strategy for Google Cloud's AI platform in the public sector, with a focus on Gemini for Government, Vertex AI, and other applied AI solutions.
  
• Collaborate closely with leaders across the RISE organization including Data and Analytics, Security, Rapid Innovation, and Platform Engineering to deliver integrated, comprehensive solutions.
• Engage with key public sector customers to understand their unique needs and act as a trusted advisor on their AI journey; serve as the organization's senior-most technical expert for the Applied AI portfolio, guiding both your team and our public sector customers.
  

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Requisition #: 135747159902298822

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