AI Outcome Customer Engineer, GTM AI Tech, Google Cloud

Gohyred; Haryana; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Google Cloud is seeking an AI Outcome Customer Engineer, Forward Deployed Engineering, to bridge pre-sales and post-sales delivery for strategic accounts. You will architect and debug complex integrations, lead technical design for AI solutions, and collaborate with product and engineering teams to shape deployment strategies across diverse customer ecosystems.

You will work with regional and international customers, shaping adoption-driven engagements and ensuring rapid activation within

Qualifications

• Bachelor's degree or equivalent practical experience.
• 7 years of experience troubleshooting technical issues for internal/external partners or customers.
• Experience leading technical delivery strategies, debugging systems, and interfacing with product/engineering organizations.
• Experience reading or debugging code in a general purpose coding language (e.g., Java, Python, JavaScript, etc.).
• Experience with enterprise integrations (e.g., APIs, enterprise content management (ECMs), identity), cloud infrastructure, or AI/ML model deployments.
• Experience in system design or orchestration frameworks.

Responsibilities

• 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.

Skills

7 years experience

Technical delivery leadership

Code reading

Java

Python

JavaScript

APIs

ECMs

Identity

Cloud infrastructure

AI/ML deployments

System design

Resource orchestration

Stakeholder influence

Deep problem solving

Executive communication

Education

Bachelor's degree or equivalent practical experience

Tools

Java

Job description

In most instances, this position requires in\-person interviews as part of the hiring process.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 7 years of experience troubleshooting technical issues for internal/external partners or customers.
• Experience leading technical delivery strategies, debugging systems, and interfacing with product/engineering organizations.
• Experience reading or debugging code in a general purpose coding language (e.g., Java, Python, JavaScript, etc.).
• Experience with enterprise integrations (e.g., APIs, enterprise content management (ECMs), identity), cloud infrastructure, or AI/ML model deployments.
• Experience in system design or orchestration frameworks.

Preferred qualifications:

• Experience orchestrating specialized technical resources to execute complex builds.
• Experience engaging with, presenting to, and influencing technical stakeholders or executive leaders.
• Ability to dive deep 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

The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem‑solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross‑functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.

As an AI Outcome Customer Engineer, Forward Deployed Engineering (FDE), you will be responsible as an enterprise architect, technical debugger, and engineering liaison. 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 accounts, you will ensure that solutions are shaped strictly through the lens of adoption, rapid activation, and viable delivery. You will be the 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 FDE alignment. You will architect how these technical marvels actually integrate into the customer's IT ecosystem (connectors, identity, data residency, legal constraints) and drive the technical delivery strategy from start to finish.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise‑grade solutions that leverage Google’s cutting‑edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• 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 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.