[Hiring] AI Deployment Engineer/Manager @Safari AI

Role Description

We're hiring an AI Deployment Engineer/Manager to bring Safari AI's computer vision system to life at theme parks, stadiums, retail stores, and live venues. You'll report to the Deployment lead and work alongside our ML and Engineering teams. This is forward-deployed work: cameras, edge computers, networks, and servers, from the first site survey to a live, monitored system.

You'll get real ownership quickly:

• In your first 90 days, you'll run parts of deployments with support from the team.
• By month six, you'll own smaller deployments and pilot kits yourself.
• After about 12 months, a successful hire can grow into a senior Deployment Engineer, Solutions Engineering, or Client Success role.

This role is remote within the U.S., with regular travel to customer sites.

What You Will Be Doing

• Hardware Provisioning & Linux Administration:
  • Set up and configure edge computers (x86 GPU servers and NVIDIA Jetson), cameras, network switches, and 5G/LTE modems before they ship.
  • Maintain, patch, and troubleshoot Linux systems in the field, and improve our install scripts and Ansible playbooks.
• On-Site Deployment & Implementation:
  • Travel to customer sites to install and connect cameras and edge devices, verify camera streams and angles, and bring systems online.
  • Work with installation contractors and customer IT teams to keep rollouts on schedule.
• Solution Design (with the Deployment lead):
  • Run pre-deployment assessments covering camera inventory, network layout, bandwidth sizing, redundancy, and rack space.
  • Help spec ML/GPU hardware and design site-to-site and VPN connections.
• Project Coordination:
  • Track hardware inventory, order from preferred vendors, coordinate shipping, and keep checklists, timelines, and status reports current.
• Customer Support & Monitoring:
  • Be a technical point of contact for customers during and after deployment.
  • Respond to alerts such as an offline camera or edge device, and resolve or escalate issues with clear notes.
• Documentation & Automation:
  • Write installation guides, SOPs, and handoff documents.
  • Use AI tools and scripts to automate repetitive deployment and support work.

Qualifications

• A degree in Computer Science, Computer/Electrical Engineering, Information Technology, or a related field, or equivalent hands-on experience.
• 0–3 years of experience in IT, system administration, network support, field engineering, or a similar role (internships, co-ops, and homelab projects count).
• Comfortable on the Linux command line: SSH, permissions, services, logs, and basic shell scripting.
• Basic networking: IP addressing, subnets, DHCP, DNS, switches, and PoE.
• Comfortable with physical hardware: racking a server, running and testing cable, mounting and aiming a camera, working on a ladder.
• Strong troubleshooting habits: you narrow a problem down step by step and write down what you tried.
• Clear written and verbal communication with teammates, contractors, and customer IT staff.
• Organized, detail-oriented, and a fast learner in new technical environments.

Bonus Points

• Experience with IP cameras, NVR/VMS systems, or RTSP streams (Axis, Hanwha, Hikvision, and similar).
• Experience with NVIDIA Jetson, GPUs, or other edge AI hardware.
• Ansible, Docker, OpenVPN/WireGuard, or other automation and remote-access tools.
• CompTIA Network+, CCNA, or a homelab you can tell us about.
• Consulting, robotics, or computer vision experience.
• You've built or used an AI agent to automate your own work.

Additional Requirements

• Must be permanently authorized to work in the U.S. (e.g., U.S. citizen or green card holder). We are unable to sponsor or take over sponsorship of work visas, now or in the future.
• Able to travel regularly to customer sites, sometimes on short notice.
• Willing to work evenings and weekends when sites are closed to guests, and to respond to emergencies on priority projects.
• Able to lift and carry up to 50 lb of equipment.