Work setup: 100% Remote role supporting Google enterprise customers.
Reason for opening: Direct delivery lifecycle ownership embedding AI solutions into customer systems.
Deliverables: End-to-end implementation of GECX agents, prompt engineering, RAG pipelines, and automated evaluation frameworks.
Expectations: Must be comfortable leading stakeholder workshops and presenting architectures to both executive sponsors and engineering teams.
TOP HARD SKILLS
Python & REST API Engineering (5+ years)
AI Agentic Coding & Prompt Engineering (2+ years)
GCP Infrastructure & Vertex AI/GECX Suite (3+ years)
NICE-TO-HAVES
Advanced RAG (re-ranking, hybrid search, context optimization)
Technical Workshop Facilitation
Cloud Run & BigQuery experience
DISQUALIFIERS
Lack of experience building and shipping unsupervised AI agents in production.
Weak communication skills or inability to interface directly with enterprise clients/executives.
No hands-on engineering experience within the Google Cloud Platform (GCP) ecosystem.
Forward Deployed Engineers are embedded directly with enterprise customers and serve as their primary technical point of contact across the full delivery lifecycle. FDEs own the relationship as much as the technology - translating business needs into AI solutions, anticipating blockers before they surface, and communicating progress with clarity to both executive sponsors and engineering teams. This is a customer-facing role where technical excellence and outstanding communication are equally non-negotiable.
DAY-TO-DAY RESPONSIBILITIESThe ideal candidate is an exceptional communicator who translates architecture to executives and debug logs to engineers seamlessly on the same day. They are proactive by default, customer-first minded, and have a proven record as a full-lifecycle owner who has shipped agents running unsupervised in production. They bring deep expertise as a RAG practitioner and are fully fluent in Vertex AI, Cloud Run, BigQuery, and IAM.
Job Responsibilities
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