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 at scale. Trusted by over 700 organizations worldwide , including 9 of 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 in the middle of something bigger: transforming into an AI-first organisation, 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. 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 put something genuinely rare on your CV, keep reading.

About the role:

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.

Curious about the kind of challenges you'll work on at Camunda? Watch this quick 30-minute talk from our engineers to learn more about the new Camunda Exporter and how we’re solving complex problems at scale

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: 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: You're building the product as you work with customers; this includes features, agents, and skill files. When you find a bug, you're empowered to fix it.

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 what good looks like as you discover it and make the next deployment faster

Hand off deliberately: leave each customer team trained, independent, and able to act on improvement results without you

What You Bring:

Enterprise production experience: you’ve shipped something inside a large organisation and stayed to see it operate. You know why governance and resilience matter at scale.

Technical depth: you can debug an integration failure, write a custom agent against a legacy API, stand up a Camunda cluster from scratch, and explain generated BPMN to both engineers and business leads.

Stakeholder communication: you work effectively across engineering, architecture, and business leadership and adapt how you communicate without losing precision.

Practical AI experience: you’ve used AI to solve real problems in production – not just experimented. You understand context management, prompt engineering, agent testing, and integration tradeoffs.

Comfort with ambiguity: you 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

Nice-to-haves:

Experience in a customer-facing engineering or professional services role.

Familiarity with regulated industries such as financial services, healthcare, or insurance