AI Process Forward Deployed Engineer

Camunda is the enterprise platform for agentic orchestration, enabling organizations to coordinate AI agents, people, and systems across complex end-to-end business processes. With built-in governance, auditability, and human oversight, Camunda gives enterprises the control they need to move AI from pilots to production — safely and sted by over 700 organizations worldwide, including 9 of the top 10 US banks, Camunda helps enterprises boost operational efficiency, accelerate time-to-value, and deliver better customer experiences.

Fully remote and global, we are transforming into an AI-first organization, built on our own platform. We use Agentic AI to automate, orchestrate intelligent processes, and elevate human contribution across every team.

Named GP Bullhound’s Top 100 Next Unicorn list, 2025 Great Place to Work certified, Visionary in 2025 Gartner® Magic Quadrant™ for Business Orchestration and Automation Technologies, and ranked 3rd in Flexa's 2026 Most Flexible Companies.

We’re growing fast and looking for top talent to join our team. If you want meaningful work, visible impact, and something genuinely rare to put on your CV, keep reading.

ProcessOS is a new kind of Camunda product: business processes described in natural language, generated as executable BPMN workflows, and improved autonomously from production data. We’re hiring the first cohort of Forward Deployed Engineers to bring it into production at enterprise customers. You’ll own the deployment journey from first process file to a working, improving system, and hand off a functioning capability to the customer’s team.

The code you write and the patterns you discover feed directly back into how ProcessOS is built. This is a rare opportunity to shape a product, a function, and a field practice from day one.

You’ll work end-to-end across Java services and React interfaces, collaborating closely with a talented global team to measure, improve, and scale performance and fault tolerance in real-world distributed systems.

• Deploy and prove: own the end-to-end journey from first process file to a running, measurably improving production workflow.
• At 90 days: at least one workflow running, the improvement loop active, and measurable fitness gains the customer can see.
• At 12 months: 3–5 customers with viable deployments.
• Feed the product: build features, agents, and skill files with customers; fix bugs when discovered.
• Drive organisational adoption: work across 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 where platform defaults don’t fit.
• Build the playbook: document best practices to make the next deployment faster.
• Hand off deliberately: leave each customer team trained, independent, and able to act on improvement results without you.

• Enterprise production experience: shipped something inside a large organization and stayed to see it operate; understanding of governance and resilience at scale.
• Technical depth: debug integration failures, write a custom agent against a legacy API, stand up a Camunda cluster from scratch, and explain generated BPMN to engineers and business leads.
• Stakeholder communication: effective cross-functional communication with engineering, architecture, and business leadership while adapting your style without losing precision.
• Practical AI experience: used AI to solve real problems in production, with understanding of 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 our product.

• Experience in a customer-facing engineering or professional services role.
• Familiarity with regulated industries such as financial services, healthcare, or insurance.
• Production experience with agentic systems or AI-integrated workflows.
• Contributions to a shared platform or open-source project that others built on.

USEAST

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