Jobs / Switzerland / Jobgether
AI Process Forward Deployed Engineer
Jobgether · 🌍 Switzerland
Sponsorship verdict
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No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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Sponsor Radar — Jobgether
This employer posted directly and does not match a government sponsor register.
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About the role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Process Forward Deployed Engineer based in Switzerland. This is a high-impact engineering role focused on bringing AI-powered process automation into enterprise production environments. You’ll own customer deployments from initial workflow setup through measurable improvement and successful handoff. The role combines hands-on software engineering, distributed systems, AI agents, workflow orchestration, and customer-facing technical leadership. You’ll work across Java services and React interfaces while configuring platforms, debugging integrations, and developing custom solutions. Your work will directly influence product evolution, deployment practices, and reusable engineering patterns. The environment is global, remote, collaborative, and designed for engineers who are comfortable operating with significant autonomy and ambiguity. 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