Principal AI Architect - Full Time

Job Title:

Principal AI Architect

Location:

Remote – USA

Employment Type:

Full Time

Compensation:

$220K + Bonus + Equity

Interview Mode: 90 min Demo session after 1st round

About the Role:

We are seeking an experienced Principal AI Architect to lead the technical vision and architecture for a next-generation Edge AI and Vision AI platform designed for public sector and critical infrastructure environments.

This role will oversee architecture spanning edge devices, AI inference infrastructure, telemetry pipelines, cloud-native orchestration, and secure distributed systems. The ideal candidate brings deep expertise in NVIDIA AI technologies, IoT protocols, Kubernetes ecosystems, and security/compliance standards.

Responsibilities:

• Own end-to-end architecture across edge, on-prem, and cloud environments
• Design scalable real-time telemetry and sensor processing pipelines
• Lead adoption of MQTT, Kafka, ONVIF, OPC-UA, VSS, and related standards
• Optimize AI workloads using CUDA, TensorRT, Jetson, Triton Inference Server, and NVIDIA NGC
• Define secure architecture aligned with NIST SP 800-171 and CMMC requirements
• Establish architecture governance, engineering standards, observability, and CI/CD practices
• Mentor distributed engineering teams and conduct architecture reviews
• Participate in client-facing technical discussions, RFPs, and solution strategy

Required Skills:

• 10+ years of software engineering experience
• 4+ years in architect or technical leadership roles
• Strong background in distributed systems and IoT platforms
• Experience with MQTT, Kafka, AMQP, ROS2, or similar technologies
• Expertise with Kubernetes, Helm, GitOps, service mesh, and observability tools
• Hands-on experience with NVIDIA AI and GPU ecosystems
• Security architecture knowledge including NIST SP 800-171
• Excellent communication and documentation skills

Preferred Skills:

• FedRAMP or CMMC experience
• Experience in defense, smart cities, transportation, or utilities
• Familiarity with edge networking and embedded protocols
• TOGAF or cloud certifications

Benefits:

• Competitive salary + bonus + equity
• Fully remote work environment
• Learning and certification support
• Access to cutting-edge AI infrastructure
• Opportunity to build a greenfield AI platform at scale