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

• 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.

Minimum 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 Portuguese fluently to engage with regional enterprise customers and global product teams.

Preferred qualifications:

• Experience leading enterprise Generative AI, LLM-based agentic workflows, or RAG architecture engagements from prototype to production readiness.
• Experience working closely alongside Forward Deployed Engineers (FDEs), software engineering squads, sales and Product/Research teams to build and scale custom technical solutions.
• Proven track record of operating with high autonomy in ambiguous environments, establishing structure, building reusable delivery playbooks, and driving 0→1 initiatives to scale.
• Sequencing instincts with the ability to move fluidly between system-level architecture discussions and execution-level technical detail (e.g., code review, API integrations, evaluation benchmarking).

• 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 Portuguese fluently to engage with regional enterprise customers and global product teams.