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About the Role
As an AI Outcome Customer Engineer, you will function as an enterprise architect, technical debugger, engineering liaison, and technical delivery manager. You will bridge the gap between pre-sales and post-sales execution, ensuring solutions are shaped for adoption, rapid activation, and viable delivery. You will architect how technical assets integrate into the customer's IT ecosystem, considering connectors, identity, data residency, and legal constraints.
Responsibilities
- Partner with account teams and practice Customer Engineers 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.
Requirements
- Bachelor’s degree or equivalent practical experience.
- 5 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.
- Experience diving deep into novel technical problems, deciphering ambiguity, diagnosing bugs, and emerging with credible architectural solutions.
- Experience orchestrating specialized technical resources to execute complex builds.
- 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.
Skills
- Cloud native architecture
- Technical delivery strategies
- System design
- Reading code
- Orchestration frameworks
- Enterprise integrations
- APIs
- Enterprise content management (ECMs)
- Identity management
- Cloud infrastructure
- AI/ML model deployments
- Executive communication
Location
- US
Work Type
- Full-time
Experience Level
- 5 years of experience
Education Level
- Bachelor’s degree or equivalent practical experience
Salary/Compensations
- $152000 - $221000 (USD) + 15% bonus target + equity
Benefits
- Benefits information available at https://www.google.com/about/careers/applications/benefits/
About the Company
- 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.