In most instances, this position requires in-person interviews as part of the hiring process.
Applicants in Mexico: Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mexico City, CDMX, Mexico; Santiago, Chile; Bogotá, Bogota, Colombia; Lima, Peru .
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 Spanish fluently to engage with regional enterprise customers and integral 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.
- 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, buildi

📌 AI Outcome Customer Engineer, Google Cloud (Lima)
🏢 Google
📍 Lima