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AI Outcome Customer Engineer, Google Cloud (English, Spanish)

Google
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Hybrid (Mexico City, CDMX, Mexico; Santiago, Chile; Bogotá, Colombia; Lima, Peru)Full-timePosted 3w ago

About the role

AI Outcome Customer Engineer role in Google Cloud focused on technical delivery leadership, orchestration of GenAI/agentic workflows, and end-to-end post-sales execution from prototype to production.

Responsibilities

  • Manage internal and external stakeholders, including customers, providing engagement reports and gathering and escalating client signals and product feedback through internal processes.
  • Lead technical onboarding, environment readiness (capacity, quotas, security, IAM/SSO, enterprise connectors, ECMs, and data residency), and organizational change management required to operationalize AI-driven workflows into daily production.
  • Embedded with customer engineering and business teams to map workflows and data pipelines, identify integration constraints, shape tools/APIs, and define MVP requirements for GenAI and autonomous agent systems.
  • Define impact hypotheses, baseline benchmarks, and measurable KPIs, tracking production consumption velocity, deliverable reliability, and business ROI to report outcomes to C-suite and executive sponsors.
  • Structure and own end-to-end delivery roadmaps for multi-workstream AI deployments, defining milestones, technical dependencies, acceptance criteria, and sequencing decisions to protect the critical path while leading technical delivery across engineers.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
  • 5 years of experience in customer-facing technical delivery leadership, technical engagement management, solutions architecture, or enterprise AI/Cloud consulting.
  • Experience reading, evaluating, or debugging code in a general-purpose coding language (e.g., Python, Java, JavaScript) and diagnosing architectural blockers.
  • Experience in system design or orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI).
  • Experience structuring technical delivery roadmaps, managing production deployments, and interfacing with product or engineering organizations.
  • Ability to communicate in English and Spanish fluently to engage with regional enterprise customers and global product teams.

Skills

Required:Customer-facing technical delivery leadershipSolutions architectureProgramming languagesSystem design / orchestration frameworks
Last updated Oct 23, 2026. Interested? Apply on the company site.

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