AI Process Forward Deployed Engineer
New
C
CamundaBusiness process automation
Location: Remote; Secondary Locations: United States, Canada; Workplace: RemoteFull-Time
SalaryUnited States: $131,100 to $211,400; United Kingdom: £82,300 to £135,400; Singapore: S$162,800 to S$244,200; Canada: C$139,200 to C$228,900. The Annual Total Target Cash (base salary + 100% variable target, where applicable) shown below spans from the minimum in a Standard market to the maximum in a Major market.
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Job Details
- Required Skills
- JavaContent managementReactRESTful APIsPrompt EngineeringDistributed Systems
Requirements
- Have shipped a system inside a large organization and stayed to see it operate in production.
- Understand the importance of governance and resilience at scale.
- Be able to debug integration failures and build a custom agent against a legacy API.
- Be able to stand up a Camunda cluster from scratch.
- Be able to explain generated BPMN to engineers and business leads.
- Have practical experience using AI to solve production problems.
- Understand context management, prompt engineering, agent testing, and integration tradeoffs.
- Work effectively across engineering, architecture, and business leadership, adapting communication while maintaining precision.
- Make sound judgments in ambiguous situations and document what you learn.
- Be willing and able to use Camunda’s product.
- Be available for occasional travel.
- Customer-facing engineering or professional services experience is a nice-to-have.
- Familiarity with regulated industries, such as financial services, healthcare, or insurance, is a nice-to-have.
- Production experience with agentic systems or AI-integrated workflows is a nice-to-have.
- Contributions to a shared platform or open source project are a nice-to-have.
Responsibilities
- Own the deployment journey from the first process file to a running, improving production workflow.
- Measure workflow fitness and demonstrate improvements customers can see.
- Build product features, agents, and skill files while working with customers.
- Fix product bugs discovered during deployments.
- Configure Camunda clusters, debug integration failures, and build custom agents where platform defaults do not fit.
- Work with technical and business stakeholders to support lasting customer adoption.
- Document deployment practices to make future deployments faster.
- Train customer teams to operate independently and act on improvement results.
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