Senior AI Solutions Architect — Forward Deployed Engineering

Google

Sunnyvale (CA)

On-site

USD 233,000 - 324,000

Full time

3 days ago
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Benefits offered by this job

Health, dental, vision, life, and long
401(k) with company match
Paid Time Off: 20 days per year

Job summary

Google Cloud is hiring an AI Outcome Customer Engineer to bridge pre-sales and post-sales, acting as enterprise architect, technical debugger, engineering liaison and delivery manager for strategic AI accounts. You will join the GTM AI tech org and shape integrations across data pipelines, identity, and compliance.

The role supports US-based employees with a broad set of benefits. Based in Sunnyvale or other US locations, you will drive adoption, activation, and viable delivery, partnering with

Qualifications

  • 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, ECMs, identity), Cloud infrastructure, or AI/ML model deployments.

Responsibilities

  • 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.

Skills

Cloud native architecture
Technical delivery strategies
System design
Code reading (Java, C++, Python)
APIs & enterprise integrations
AI/ML model deployments

Education

Bachelor’s degree or equivalent practical experience

Tools

LangGraph
AutoGen
CrewAI

Job description

Google Cloud is hiring an AI Outcome Customer Engineer to bridge pre-sales and post-sales, acting as enterprise architect, technical debugger, engineering liaison and delivery manager for strategic AI accounts. You will join the GTM AI tech org and shape integrations across data pipelines, identity, and compliance.

The role supports US-based employees with a broad set of benefits. Based in Sunnyvale or other US locations, you will drive adoption, activation, and viable delivery, partnering with

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