Forward Deployed Engineer, Intelligent Automation

Role overview Deploy intelligent automations for enterprise customers, turning process and task-mining insights into production systems. This hands-on, customer-facing engineering role covers discovery through go-live and support, with a focus on agentic AI, hybrid automation, and reliable operation at scale. You’ll also mentor developers and bring lessons from deployments back to product and delivery practices.

Responsibilities - Own customer deployments from discovery and solution design through implementation, testing, launch, and post-launch support. - Analyze process data to identify and prioritize valuable automation opportunities, then measure outcomes such as time saved, errors, and throughput. - Build agents using frontier models and select models and patterns based on accuracy, cost, latency, and data privacy needs. - Make AI dependable with evaluation sets, guardrails, human review, monitoring, and exception handling; combine agents with RPA, document AI, and custom code. - Integrate enterprise applications through APIs, connectors, MCP servers, and user-interface automation; deploy services and pipelines on Google Cloud. - Lead workshops, explain technical trade-offs, mentor developers, and share reusable components and customer feedback with Product and Engineering.

Requirements - Strong hands-on engineering experience building production software and integrating systems; able to translate complex business processes into clear automation designs. - Practical experience deploying on Google Cloud, including services such as Vertex AI, Cloud Run, Cloud Functions, BigQuery, or Pub/Sub. - Strong Git and CI/CD skills, including branches, pull requests, code review, testing, and deployment workflows. - Demonstrated experience building agentic AI with models such as Claude, Gemini, or GPT, including prompt and context design, tool use, retrieval, multi-step workflows, and evaluation. - Experience guiding developers through reviews, pairing, or coaching. - Clear communication with executives and frontline teams, including workshop and demo facilitation.

Nice to have Process or task mining experience; RPA certifications; agent frameworks or protocols; Google Cloud certifications; containers or infrastructure as code; forward-deployed or solutions engineering experience; knowledge of finance, insurance, banking, or shared services.

Benefits and work setup Remote, hub-based, or hybrid work with flexible location and schedule. Compensation includes stock options. Other listed support includes a laptop, remote-work and co-working budgets, paid time off plus local holidays, enhanced parental leave, health and retirement benefits, annual learning funds, and team gatherings. Benefits can vary by location and role.