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

Google LLC; São Paulo; Presencial; BRL 360 000 - 600 000; Tempo integral

Resumo da oferta

Google Cloud is seeking an AI Outcome Customer Engineer to bridge pre-sales and post-sales delivery, taking AI and agentic solutions from prototypes through MVP to scaled production. You will ensure adoption, rapid activation, measurable ROI, and viable delivery.

You will collaborate with engineers and partners to integrate technical assets into the customer's IT ecosystem, manage delivery roadmaps, environment readiness, and day‑to‑day execution to scale AI deployments.

Qualificações

• Experience leading enterprise Generative AI, LLM-based agentic workflows, or RAG architecture engagements from prototype to production readiness.
• Experience working with Forward Deployed Engineers, software squads, sales and Product/Research teams to build and scale custom technical solutions.
• Ability to move between system-level architecture discussions and execution-level technical detail (e.g., code review, API integrations, evaluation benchmarking).

Responsabilidades

• 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.
• Embed 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.

Conhecimentos

Enterprise AI leadership

LLM workflows

RAG architectures

APIs integration

Autonomy in ambiguity

Ferramentas

API integrations

Data residency knowledge

Descrição da oferta de emprego

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

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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.
• Sharp 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).
• Proven track record of operating with high autonomy in ambiguous environments, establishing structure, building reusable delivery playbooks, and driving 0→1 initiatives to scale.

About the job

As an AI Outcome Customer Engineer in Google Cloud, you will work as a technical debugger, engineering liaison, and technical delivery manager. You will bridge the gap between pre-sales agreement shaping and end-to-end post-sales execution, taking complex AI and agentic solutions from prototypes through minimum viable product (MVP) and into scaled production. You will ensure that solutions are shaped strictly through the lens of adoption, rapid consumption activation, measurable business return on investment (ROI) and viable delivery.

Working closely alongside our Engineers, and implementation partners, you will architect how technical assets integrate into the customer's IT ecosystem (connectors, identity, data residency, legal constraints) while owning the delivery roadmap, environment readiness, and day‑to‑day engineering execution required to drive production scale.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting‑edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

About the job

As an AI Outcome Customer Engineer in Google Cloud, you will work as a technical debugger, engineering liaison, and technical delivery manager. You will bridge the gap between pre-sales agreement shaping and end-to-end post-sales execution, taking complex AI and agentic solutions from prototypes through minimum viable product (MVP) and into scaled production. You will ensure that solutions are shaped strictly through the lens of adoption, rapid consumption activation, measurable business return on investment (ROI) and viable delivery.

Working closely alongside our Engineers, and implementation partners, you will architect how technical assets integrate into the customer's IT ecosystem (connectors, identity, data residency, legal constraints) while owning the delivery roadmap, environment readiness, and day‑to‑day engineering execution required to drive production scale.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting‑edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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.
• Embed 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.