Staff AI/ML Technical Solution Consultant

About the Job

As a Staff AI/ML Technical Solution Consultant within Google Cloud's Developer and Experiences team, you will empower customers to build secure and reliable applications by providing a compelling end-to-end experience and underlying enterprise-grade platform.

You will join a new team, serving as the "Human API" for accounts. This technical engineering position requires end-to-end ownership of the customer's technical success and realized business outcomes. Your role bridges the "last mile" gap, ensuring that our AI developer tools deliver tangible, sustained value, directly informing our product roadmap based on real-world usage.

This is a unique opportunity to directly enable Google's objectives: fostering a growing Google developer ecosystem, creating delightful Day Zero experiences for builders, and ensuring well-lit, secure paths for agents and applications on Google Cloud.

The US base salary range for this full-time position is $183,000-$265,000 + bonus + equity + benefits. Benefits for this role include health, dental, vision, life, disability insurance, retirement benefits with 401(k) and company match, 20 days of vacation per year, sick time, maternity and baby bonding leave, and 13 paid holidays annually. Your preferred working location can be Sunnyvale, CA, USA; Kirkland, WA, USA; or New York, NY, USA.

Responsibilities

• Manage the customer's entire technical journey from initial engagement through sustained success by rapidly architecting, prototyping, and implementing bespoke solutions to "last mile" technical gaps, ensuring the realization of specific business outcomes.
• Serve as the primary technical conduit between customer usage and the core engineering roadmap by systematically codifying field learnings and bespoke solutions into reusable product patterns, translating them into high-fidelity, scalable product requirements and feature requests for internal teams.
• Acquire and convert high-value accounts into successful long-term adopters and users, measuring success by customer outcomes, including adoption growth, usage lift (MAU/DAU), and subsequent business generation and expansion.
• Convert customers into passionate advocates by ensuring technical and business outcomes are met while cultivating relationships, driving Advocacy Score improvements (NPS/CSAT) and enabling references for marketing and future customer engagements.
• Ensure end-to-end technical success in customer environments, focusing on the secure and scalable building, deployment, and operation of AI agents and applications on Google Cloud.

Minimum Qualifications

• Bachelor's degree in Engineering, Computer Science, or related technical fields.
• 7 years of experience in coding, software development, technical consulting, or a related engineering role.
• 2 years of experience with building Generative AI solutions.
• Experience in one or more programming languages and AI dev tools (e.g., Python, Go, Java, C++).

Preferred Qualifications

• Master's degree in Computer Science or a related technical field.
• 7 years of experience architecting and delivering end-to-end solutions in a cloud environment (GCP, Cloud Computing Platform).
• Experience designing and deploying cloud-native distributed systems, developer tools, or AI/ML workflows in an enterprise environment.

Key skills/competency

• AI/ML Solutions
• Generative AI
• Technical Consulting
• Cloud Architecture
• Customer Engagement
• Product Roadmap Influence
• Distributed Systems
• Software Development
• GCP
• Python/Go/Java/C++