AI Outcome Customer Engineer, Forward Deployed Engineering

Google; Chicago (IL); On-site; USD 183,000 - 265,000; Full time

Job summary

Google Cloud's Forward Deployed Engineering team seeks an AI Outcome Customer Engineer to bridge pre-sales and post-sales work, guiding deployments for enterprise reliability and rapid activation.

You will collaborate with account teams, design end-to-end integrations, diagnose issues at the code level, and translate technical feedback into actionable product requests while leveraging Google's AI portfolio.

Qualifications

• 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 (Java, C++, Python).

Responsibilities

• Partner with account teams during technical evaluation phases to assess feasibility, shape proposals for long-term adoption, and validate engagement requests.
• Lead upfront technical design for enterprise-grade AI solutions, ensuring secure integration of models, agents, and connectors into existing data pipelines and identity providers.
• Diagnose and resolve complex customer implementation issues, identify core product bugs, and test workarounds to clear execution roadblocks.
• Serve as liaison to core Product and Engineering teams, translating field feedback into actionable feature requests.
• Steer implementation strategy through technical authority while owning delivery with customer-facing teams.

Skills

Troubleshooting

System design

Reading code

Education

Bachelor's degree

Tools

APIs

ECMs

Identity management

Cloud infrastructure

AI/ML deployment

Job description

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

Minimum qualifications:

• 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).

Preferred qualifications:

• 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.

About the job

As an AI Outcome Customer Engineer in Forward Deployed Engineering, you will bridge the gap between pre-sales agreement shaping and post-sales execution. Aligned with our Forward Deployed Engineering (FDE) organization, you will steer AI deployments, ensuring solutions are built for long-term viability, rapid activation, and enterprise-grade reliability.It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era - the market is yours. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $183000 - $265000 (USD) + 20% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Partner with account teams and practice Customer Engineers (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 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 .