AI Process Forward Deployed Engineer

Role overview

Responsibilities

• Own end-to-end deployments from initial process files to production workflows that improve based on measurable results.
• Establish an operational workflow and active improvement loop during the initial deployment period.
• Build and customize product features, AI agents, and skill files; resolve bugs and technical limitations.
• Configure platform environments, clusters, and integrations; troubleshoot failures across distributed systems and enterprise stacks.
• Develop custom agents and integrations when standard platform capabilities do not meet customer needs.
• Coordinate with engineering, architecture, business, and customer stakeholders to drive adoption and sustainable capabilities.
• Document lessons and implementation patterns; create a repeatable deployment playbook.
• Train customer teams to operate the solution and act on ongoing improvement results after handoff.
• Contribute deployment insights to product development and platform evolution.
• Travel occasionally for customer or team engagements.

Requirements

• Proven enterprise production software delivery and operations experience, with understanding of governance, resilience, reliability, and operational requirements at scale.
• Strong software engineering skills, including integration debugging, custom agents against APIs or legacy systems, platform cluster configuration, and distributed systems.
• Experience with Java-based services and React interfaces, or ability to quickly operate across comparable stacks.
• Production AI experience including AI applications, prompt engineering, context management, agent testing, and integration trade-offs.
• Ability to understand and explain generated BPMN workflows and technical concepts to engineering and business stakeholders.
• Strong stakeholder communication, ambiguity management, sound technical and operational judgment, and documentation skills.
• Ability and willingness to use the product and travel occasionally.

Additional qualifications

• Customer-facing engineering, solutions engineering, or professional services experience is a plus.
• Familiarity with regulated industries such as financial services, healthcare, or insurance is advantageous.
• Production experience with agentic systems or AI-integrated workflows is a plus.
• Contributions to shared platforms or open-source projects are valued.

Benefits

• Fully remote and flexible working environment, with home office support and coworking budget.
• Flexible time off and location-based compensation with transparent salary structures; equity through a Virtual Stock Option Plan where applicable.
• Locally tailored healthcare benefits, mental wellbeing support, and life and disability insurance where applicable.
• Lifestyle spending support, with the stated program launching in 2026 and scaling to €1,000 annually from 2027.
• Retirement and pension plans, often including company contributions.
• Annual learning and development budget of up to $/€/£1,000.
• Company kickoff events, team offsites, local gatherings, and connection budgets.

Hiring process