Senior Forward Deployed Engineer, GenAI, Google Cloud

As a GenAI Forward Deployed Engineer at Google Cloud, you will be an embedded builder bridging the gap between frontier AI products and production-grade reality for customers. You will function as a builder-consultant, coding, debugging, and shipping bespoke agentic solutions within customer environments. You will manage blockers to production including integration complexities, data readiness, and state-management issues, providing white-glove deployment of AI systems and transforming field insights into Google Cloud’s product roadmap.

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 5 years of experience building and shipping production-grade AI-driven solutions using Python, Typescript, or comparable languages.
• Experience leading technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements.
• Experience designing and building AI systems on cloud platforms such as Google Cloud Platform (GCP).
• Experience building pipelines for structured and unstructured data, incorporating vector databases and retrieval-augmented generation (RAG)-like architectures.

Preferred qualifications:

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks like LangGraph, CrewAI, or Google’s Agent Development Kit (ADK) and patterns such as ReAct, self-reflection, and hierarchical delegation.
• Knowledge of large language model native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

• Serve as the lead developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows such as multi-agent systems and model context protocol servers.
• Architect and code the integration between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet accuracy, safety, and latency requirements.
• Identify repeatable field patterns and technical friction points in Google’s AI stack and convert them into reusable modules or product feature requests.
• Mentor talent, co-build with customer teams, and influence cross-functional strategies to enhance organizational technical capabilities.

Google is an equal opportunity workplace and affirmative action employer committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Qualified applicants are considered regardless of criminal histories, consistent with legal requirements. Accommodations for applicants with disabilities are available upon request.