AI Process Forward Deployed Engineer
jobgether
France
Temps plein
Cette annonce provient de Lever
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.
- 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.
- 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.
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