AI Process Forward Deployed Engineer

Accountabilities

• • Own the end-to-end deployment journey, from the initial process file through a production workflow that continuously improves based on measurable results.

  • Establish successful customer outcomes, including achieving an operational workflow and active improvement loop within the initial deployment period.

  • Build and customize product capabilities, including features, AI agents, and skill files, while addressing bugs and technical limitations encountered in real-world deployments.

  • Configure platform environments, including clusters and integrations, and troubleshoot complex failures across distributed systems and enterprise technology stacks.

  • Develop custom agents and integrations when standard platform capabilities do not adequately address customer requirements.

  • Work closely with engineering, architecture, business, and customer stakeholders to drive organizational adoption and turn initial deployments into sustainable capabilities.

  • Capture lessons learned, document successful implementation patterns, and build a repeatable deployment playbook that improves future implementations.

  • Train and enable customer teams so they can independently operate the solution and act on ongoing improvement results after the handoff.

  • Contribute engineering insights from customer deployments directly back into product development and platform evolution.

  • Travel occasionally when required to support customer or team engagements.

  Requirements

  • Proven experience delivering and operating software in enterprise production environments, with a strong understanding of governance, resilience, reliability, and operational requirements at scale.

  • Strong software engineering capabilities, including the ability to debug integrations, build custom agents against APIs or legacy systems, configure platform clusters, and work across distributed systems.

  • Experience working with Java-based services and React interfaces, or the ability to quickly operate across comparable technology stacks.

  • Practical production experience with AI technologies, including AI-powered applications, prompt engineering, context management, agent testing, and evaluating integration trade-offs.

  • Ability to understand and explain generated BPMN workflows and technical concepts to both engineering teams and business stakeholders.

  • Strong customer and stakeholder communication skills, with the ability to adapt technical discussions for engineering, architecture, and business leadership audiences.

  • Demonstrated ability to operate effectively in ambiguous environments, make sound technical and operational decisions, and document emerging best practices.

  • Experience working in customer-facing engineering, solutions engineering, or professional services environments 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.

  • Ability and willingness to use the product as part of the role.

  • Willingness to travel occasionally as required.

  Benefits

  • Fully remote and flexible working environment.

  • Home office budget and support for coworking spaces.

  • Flexible time off.

  • Competitive, location-based compensation with transparent salary structures.

  • Equity through a Virtual Stock Option Plan where applicable.

  • Locally tailored healthcare benefits.

  • Global mental wellbeing support through Modern Health.

  • Live Well Lifestyle Spending Account supporting health, family, personal interests, experiences, and financial wellbeing, launching in 2026 and scaling to €1,000 annually from 2027.

  • Retirement and pension plans, often including company contributions.

  • Life and disability insurance where applicable.

  • Annual learning and development budget of up to $/€/£1,000 for courses, certifications, books, and other self-directed learning.

  • Annual company kickoff events, team offsites, local gatherings, and connection budgets that support meaningful in-person collaboration.

  • Inclusive global environment with opportunities to work alongside diverse teams and cultures.