AI Forward Deployed Engineer

AI Forward Deployed Engineer

Location: 100% Remote Terms: Long Term Contract Note: We will conduct an IDV check before submission; make sure candidates are ready 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)

"AI" AND Python AND Rest API AND Agentic AND GCP AND GECX AND RAG Nice-To-Haves:

• Advanced RAG (re-ranking, hybrid search, context optimization)
• Technical Workshop Facilitation
• Cloud Run & BigQuery experience

Position Overview: 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 Responsibilities:

• Lead stakeholder workshops, ask the right questions proactively, document requirements before the customer thinks to ask, and establish trust from day one.
• Translate business needs into conversation flows, escalation paths, and agent skill boundaries, presenting options clearly to all sponsors and teams.
• Implement GECX agents end-to-end including prompt engineering, RAG pipelines, API integrations, and GCP infrastructure while proactively flagging scope risks.
• Build automated evaluation frameworks, define acceptance criteria with the customer, and communicate quality status transparently to avoid go-live surprises.
• Lead production deployments with clear cutover communications to all stakeholders and brief executive sponsors proactively before they ask.
• Stay embedded through stabilization, surface performance insights, communicate incident status in plain language, and train customer teams to own their GECX agents.

Top 3 Required Skills:

• Python Engineering & REST APIs (5+ years preferred)
• AI & Agentic Coding / Prompt Engineering (2+ years preferred)
• GCP Cloud Infrastructure & GECX Suite (3+ years preferred)

Additional Desired Skills:

• Advanced RAG & Context Optimization
• Workshop Facilitation & Stakeholder Management
• GitHub & JSON Data Handling
• Evaluation Frameworks & Agent Testing

Ideal Candidate Profile: The 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.