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AI Job Summary

Partner with account and customer engineering teams to assess AI project feasibility, design enterprise-grade solutions integrating models and agents into customer infrastructure, and troubleshoot complex implementation issues. Requires seven years troubleshooting technical problems for customers, experience debugging code in languages like Python or Java, familiarity with enterprise integrations and cloud infrastructure, and ability to lead technical delivery strategies while liaising with product and engineering teams. Bachelor's degree or equivalent experience required.

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Job Description

  • 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.

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.
  • 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.
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  • Role AI Outcome Customer Engineer, FDE, Google Cloud
  • Experience 3-4 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location India
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview
Eligibility
India Right to work in India required.
Workplace
On-site
Job Posted:
3 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
3-4 years

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