4 days ago
São Paulo, BrazilSenior
Responsibilities
- Manage internal and external stakeholders, provide engagement reports, and gather and escalate customer and product feedback.
- Lead technical onboarding and production-readiness activities covering capacity, quotas, security, IAM/SSO, enterprise connectors, ECMs, and data residency.
- Embed with customer engineering and business teams to map workflows and data pipelines, identify integration constraints, shape tools and APIs, and define MVP requirements for GenAI and autonomous agent systems.
- Define impact hypotheses, benchmarks, KPIs, production consumption velocity, reliability measures, and business ROI for executive reporting.
- Own end-to-end delivery roadmaps for multi-workstream AI deployments, including milestones, dependencies, acceptance criteria, sequencing, and technical delivery across engineers.
Requirements
- Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
- At least 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 Python, Java, JavaScript, or another general-purpose language and diagnosing architectural blockers.
- Experience with system design or orchestration frameworks such as LangGraph, AutoGen, or CrewAI.
- Experience structuring technical delivery roadmaps, managing production deployments, and interfacing with product or engineering organizations.
- Fluency in English and Portuguese.
- Preferred experience leading enterprise Generative AI, LLM-based agentic workflow, or RAG architecture engagements from prototype through production readiness.
- Preferred experience collaborating with Forward Deployed Engineers, software engineering teams, sales, and Product/Research teams.
- Preferred ability to move between system architecture and execution details such as code review, API integrations, and evaluation benchmarking.
- Preferred track record of operating autonomously in ambiguous environments, creating reusable delivery playbooks, and driving 0-to-1 initiatives.
Tech Stack
Categories
Solutions Engineering
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.