AI Process Forward Deployed Engineer
Camunda · Remote
About this role
## AI Process Forward Deployed Engineer ### About Camunda Camunda is the enterprise platform for agentic orchestration—helping organizations coordinate AI agents, people, and systems across complex, end-to-end business processes with governance, auditability, and human oversight. ### About the role **ProcessOS** is a new Camunda product: business processes described in natural language are generated into executable **BPMN workflows**, then improved autonomously from production data. Camunda is hiring the **first cohort of Forward Deployed Engineers** to bring ProcessOS into production at enterprise customers. You’ll own the deployment journey—from the first process file to a working, improving system—and hand off a functioning capability to the customer’s team. You’ll work end-to-end across **Java services** and **React interfaces**, collaborating with a global team to measure, improve, and scale **performance** and **fault tolerance** in real-world distributed systems. ### What you’ll be doing - **Deploy and prove:** Own the end-to-end journey from first process file to a running, measurably improving production workflow. - **At 90 days:** Ensure at least one workflow is running, the improvement loop is active, and measurable fitness gains are visible to the customer. - **At 12 months:** Deliver **3–5 customers** with viable deployments. - **Feed the product:** Build features, agents, and skill files as you work with customers; fix bugs when you find them. - **Drive organizational adoption:** Partner with technical and business stakeholders to turn early deployments into lasting customer capability. - **Work at technical depth:** Configure Camunda clusters, debug integration failures, and build custom agents when defaults don’t fit. - **Build the playbook:** Document what “good” looks like to make future deployments faster. - **Hand off deliberately:** Train customer teams to be independent and able to act on improvement results without you. ### What you bring - **Enterprise production experience:** You’ve shipped in a large organization and stayed to see it operate; you understand governance and resilience at scale. - **Technical depth:** Debug integration failures, build custom agents against legacy APIs, stand up Camunda clusters, and explain generated BPMN to both engineers and business leads. - **Stakeholder communication:** Communicate precisely across engineering, architecture, and business leadership. - **Practical AI experience:** Used AI to solve real production problems (context management, prompt engineering, agent testing, and integration tradeoffs). - **Comfort with ambiguity:** Make sound judgment calls without a playbook and document what you learn. - **Occasional travel may be required.** - Ability and/or willingness to use Camunda’s product. ### Nice-to-haves - Customer-facing engineering or professional services experience. - Familiarity with regulated industries (e.g., financial services, healthcare, insurance). - Production experience with agentic systems or AI-integrated workflows. - Contributions to a shared platform or open source project. ### Location / work style - **Fully remote** (role tags include **#LI-Remote** and **#USEAST**). ### Compensation & benefits (high level) - **United States:** $131,100–$211,400 (base + 100% variable target where applicable) - **United Kingdom:** £82,300–£135,400 - **Singapore:** S$162,800–S$244,200 - Equity via VSOP (where applicable) - Remote & flexible work, health
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