AI Outcome Customer Engineer, Forward Deployed Engineering

AI Outcome Customer Engineer, Forward Deployed Engineering

Location:

New York, NY, USA;
Chicago, IL, USA

Note:

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

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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

• Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity), Cloud infrastructure, and AI/ML model deployments.
• Ability to do in-depth search into novel technical problems, decipher extreme ambiguity, diagnose bugs, and emerge with credible architectural solutions.
• Excellent executive communication skills, capable of translating deep technical integration issues into business impact.

As an AI Outcome Customer Engineer, Forward Deployed Engineering, you will be responsible for enterprise architect, technical debugger, and engineering liaison.

You will be overarching Enterprise Architect and Technical Delivery Manager charting the course. You will also be responsible for technical design, systemic debugging, Product and Engineering integration, and strategic Forward Deployed Engineering (FDE) alignment.

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide.

US: $183,000 - $266,000 (USD) + 20% bonus target + equity + benefits.

Learn more about benefits at Google.

• Partner with Account teams and practice Customer Engineer (CEs) during technical evaluation phases to assess project feasibility, shape proposals for long-term adoption, and validate FDE engagement requests.
• Lead upfront technical design for enterprise‑grade AI solutions, ensuring seamless and secure integration of models, agents, and connectors into existing customer data pipelines, identity providers, and compliance boundaries.
• Dive into code‑level context to diagnose and resolve complex customer implementation issues, identify core product bugs, and test workarounds to clear execution roadblocks.
• Serve as the definitive liaison to core Product and Engineering teams, troubleshooting systemic deployment blockers and translating real‑world field feedback into actionable feature requests.
• Steer implementation strategy through technical authority and architectural foresight while owning the technical reality of delivery alongside customer‑facing teams.

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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.