AI Outcome Customer Engineer IV, Forward Deployed Engineering

Google LLC; New York, Atlanta (NY, GA); On-site; USD 233,000 - 324,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off

Sick time

Maternity leave

Baby bonding leave

Holidays

Job summary

Google LLC seeks an AI Outcome Customer Engineer within the GTM AI tech org to act as an enterprise architect, debugger, engineering liaison, and delivery manager. You will bridge pre-sales to post-sales for strategic AI accounts, ensuring adoption, rapid activation, and viable delivery.

You’ll architect integration into customer IT ecosystems and data residency requirements. Join Google Cloud’s GTM AI team with access to Vertex AI, Gemini models, and DeepMind collaboration, driving a globally

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 10 years of cloud native architecture experience in a customer-facing or support role.
• Experience delivering technical strategies and interfacing with product/engineering.
• Experience in system design or reading code (Java, C++, Python).
• Experience in system orchestration frameworks (LangGraph, AutoGen, CrewAI).
• Experience with enterprise integrations (APIs, ECMs, identity), cloud infra or AI/ML deployments.

Responsibilities

• Partner with account teams and CE teams during evaluation phases to shape proposals.
• Lead upfront technical design for enterprise AI solutions and secure integrations.
• Diagnose and resolve complex customer implementation issues at code level.
• Serve as liaison to Product and Engineering to translate field feedback into features.
• Steer implementation strategy with architectural foresight while delivery with customer teams.

Skills

Cloud architecture

Java

C++

Python

APIs

Identity management

Data residency

Executive communication

System design

Orchestration frameworks

Education

Bachelor's degree or equivalent

Tools

LangGraph

AutoGen

CrewAI

Vertex AI

DeepMind collaboration

Job description

corporate_fare Google place New York, NY, USA ; Atlanta, GA, USA ; +6 more

This role may also be located in our Playa Vista, CA campus.

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

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

• Bachelor’s degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with technical delivery strategies and interfacing with product or engineering organizations.
• Experience in either system design or reading code (e.g., Java, C++, Python).
• Experience in system design or orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI).
• Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity), Cloud infrastructure, or AI/ML model deployments.

Preferred qualifications:

• Experience orchestrating specialized technical resources to execute complex builds.
• Experience diving deep into novel technical problems, deciphering ambiguity, diagnosing bugs, and emerging with credible architectural solutions.
• Experience engaging with, presenting to, and influencing technical stakeholders or executive leaders.
• Excellent executive communication skills, capable of translating deep technical integration issues into business impact.

About the job

As an AI Outcome Customer Engineer in our Go-to-Market (GTM) AI tech organization, you will work as an enterprise architect, technical debugger, engineering liaison and technical delivery manager. You will bridge the gap between pre-sales agreement shaping and post-sales execution. Entering the agreement cycle during the technical evaluation phase for strategic AI accounts, you will ensure that solutions are shaped strictly through the lens of adoption, rapid activation, and viable delivery. Aligned with our Forward Deployed Engineering (FDE) organization, you will architect how these technical assets actually integrate into the customer's IT ecosystem (connectors, identity, data residency, legal constraints).It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll be 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.

About the job

As an AI Outcome Customer Engineer in our Go-to-Market (GTM) AI tech organization, you will work as an enterprise architect, technical debugger, engineering liaison and technical delivery manager. You will bridge the gap between pre-sales agreement shaping and post-sales execution. Entering the agreement cycle during the technical evaluation phase for strategic AI accounts, you will ensure that solutions are shaped strictly through the lens of adoption, rapid activation, and viable delivery. Aligned with our Forward Deployed Engineering (FDE) organization, you will architect how these technical assets actually integrate into the customer's IT ecosystem (connectors, identity, data residency, legal constraints).It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll be 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: $233000 - $324000 (USD) + 25% bonus target + equity + benefits

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 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 .

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.

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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.