- Robot type
- Drone
- Location
- South San FranciscoCaliforniaUSA
- Job type
- Artificial Intelligence
- Posted
- Jul 22, 2026
- Salary
- $185,000–$240,000 a year
Staff Platform Software Engineer, AI Enablement
Job description
Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations.
Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe.
We operate at a global scale and are looking for practical problem solvers who…
Job responsibilities
- Define and build the “paved road” for connecting AI-enabled applications and internal tools to production systems, including services that support delivery operations and customer experience.
- Design and implement reusable APIs, gateways, middleware, and integration patterns that are scalable, secure, observable, and straightforward for engineers to adopt.
- Partner early with Forward Deployed AI Engineers on high-impact projects, helping them select production-ready integration patterns and move successful prototypes into supported services.
- Own the technical decision for integrations that access protected production boundaries: approve the proposed design, require a safer redesign, or decline an integration that cannot meet Zipline’s standards for…
- Define and operate the platform safeguards that protect production systems—including authentication, authorization, workload isolation, rate limiting, auditability, capacity management, observability, alerting,…
- Establish clear technical standards and governance for how AI-enabled tools access production and operationally critical systems.
- Create reference implementations, documentation, and developer experiences that make the secure, supported path the easiest path to adopt.
- Partner with service-owning teams to ensure platform components and integrations have explicit ownership, operational expectations, and sustainable support models.
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