> Markdown version of [/jobs/ext/2123193-forward-deployed-engineer](https://www.wearedevelopers.com/jobs/ext/2123193-forward-deployed-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer - **Company:** Intersources Inc. - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, BigQuery, Cloud Computing, Github, JSON, Python (Programming Language), Software Deployment, Google Cloud, Prompt Engineering, Restful APIs, Api Management - **Published:** August 19, 2026 - **Apply:** https://www2.jobdiva.com/portal/?a=62jdnw10t7d77ytz0lbaey9qxonk3b05a9tqw96rb7z6hlfo7xj79l9g6mp6aj2o&compid=0/jobs/32873989#/jobs/32873989 ## About the Role * 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., Python Engineering & REST APIs (5+ years preferred) AI & Agentic Coding / Prompt Engineering (2+ yearsnpreferred) 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 ## Description * 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., 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. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Making Data Warehouses fast. 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