Forward Deployed AI Engineer, Expansion

Posted Yesterday
Be an Early Applicant
South San Francisco, CA, USA
In-Office
113K-300K Annually
Senior level
Aerospace • Hardware • Logistics • Robotics • Software • Transportation
Zipline democratizes access to critical medical supplies through instant drone delivery.
The Role
Build and deploy end-to-end GenAI tools for operational workflows across aviation, logistics, fulfillment, and field teams. Partner with users to define requirements, implement production LLM-based systems, and integrate learnings into broader AI platforms to support large-scale market expansion.
Summary Generated by Built In
About Zipline

Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. 

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 thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds.

About You & the Role

Zipline is looking for Forward Deployed AI Engineers, Expansion, who will be at the forefront of bringing GenAI into one of the most complex real-world logistics systems in the world. We operate across software, hardware, aviation, robotics, healthcare, commerce, and field operations, which means the work is practical, high-stakes, and directly tied to production outcomes.

This role is similar to being a hands-on AI startup CTO inside Zipline: you report directly to the Head of Operations, work in a small team, own delivery of important projects, move quickly from problem discovery to shipped product, and partner directly with users. The impact will come less from demos and more from systems that are adopted, trusted, and used in daily operations.

What You’ll Do

Forward Deployed AI Engineers work directly with Zipline teams to own GenAI strategy and implementation for high-impact operational workflows and teams. On a daily basis, you will build end-to-end AI tools, take them to production, and solve real-world problems across aviation, logistics, fulfillment, maintenance, customer operations, and commercial teams.

You will work closely with operators, engineers, product teams, and business leaders to understand user needs, define the right technical approach, and implement solutions that improve how Zipline runs. You will also bring learnings from the field back into Zipline’s broader AI tooling, platforms, and best practices.

In this deployment, you will focus on the shared operating layer for a massive expansion of our footprint: market readiness, jurisdiction status, site pipeline, blockers, owners, dates, confidence, and the next decisions that keep tens of teams moving together.

What You’ll Bring
  • We value past experience building things that work. We do not need specific degrees; we need results. Make sure your resume highlights what you have built, shipped, automated, scaled, or made real. It matters less where, when, or for whom you built it; what matters is that it was useful, ambitious, technically strong, and cool.
  • We value an engineering mindset focused on delivering production AI systems, not academic benchmarks.
  • You should have experience building with LLMs, data processing pipelines, and analytics tools, and you should be comfortable decomposing messy business problems into reliable technical workflows.
  • We require past experience building GenAI solutions, a strong understanding of the AI landscape, and a solid foundation in machine learning basics such as evaluation, training concepts, and problem decomposition.
  • You should be a strong coder, with proficiency in Python, TypeScript/JavaScript, Java, C++, or similar languages.
  • You should be comfortable collaborating with technical and non-technical teammates, working in dynamic environments, and iterating directly with users.
  • Ability and interest in traveling to Zipline sites as needed is helpful up to 50% depending on the organization you’ll be deployed into.
  • Experience building workflow systems, decision-support tools, operational dashboards, or cross-functional planning products is especially helpful.
WHAT ELSE YOU NEED TO KNOW

This will be an in-office role based out of our South San Francisco HQ. Must be able to travel up to 25% of the time either to our HQ or into the Field.

The starting cash range for this role is $112,500 - $300,000; please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. We are always open to negotiation. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; overtime pay; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more.

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities.

We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

Skills Required

  • Past experience building GenAI solutions and production AI systems
  • Experience building with LLMs
  • Experience with data processing pipelines and analytics tools
  • Strong understanding of AI landscape and machine learning fundamentals (evaluation, training, problem decomposition)
  • Proficiency in Python, TypeScript/JavaScript, Java, or C++ (or similar languages)
  • Experience building workflow systems, decision-support tools, operational dashboards, or cross-functional planning products
  • Ability to collaborate with technical and non-technical teammates and iterate directly with users
  • Must be able to work in-office at South San Francisco HQ
  • Willingness/ability to travel up to 25% for HQ/field visits
  • Ability and interest in traveling to Zipline sites up to 50% (organization-dependent)
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The Company
HQ: South San Francisco, CA
375 Employees
Year Founded: 2014

What We Do

Zipline is the world's largest autonomous delivery network and is powered entirely by fixed-wing drones. Our fleet circles the equivalent distance of the equator every 2.5 days, and we have shipped hundreds of thousands of critical medical products across Rwanda, Ghana, and now beginning in the United States.

Why Work With Us

Zipline is the perfect intersection of super cutting-edge tech, deep social mission, and extremely compelling business case. Our small, scrappy, customer-obsessed, humble, and mission-driven team has set the bar for what is possible in the drone logistics industry globally, and has designed some incredibly elegant technology in the process.

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