Job Overview
Location
Remote Work( USA)
Job Type
Full-time
Category
Software Engineering
Date Posted
June 20, 2026
Full Job Description
đź“‹ Description
- • As Principal AI Architect at Centific Global Technologies, you will serve as the technical authority shaping a next-generation Vision AI software platform for US public sector clients, including federal agencies, defense contractors, smart-city programs, and critical infrastructure operators.
- • Day to day, you will own end-to-end architecture of the Edge AI/IoT platform, drive adoption of open standards and NVIDIA ecosystem tools, lead security and compliance efforts for NIST SP 800-171 and CMMC pathways, mentor a globally distributed engineering team, and act as the senior technical point of contact in pre-sales and government engagements.
- • Centific is a frontier AI data foundry with over 150 PhDs and 4,000 AI practitioners, empowering enterprise clients with safe, scalable AI deployment through purpose-built technology platforms, integrated solution ecosystems, and zero-distance innovation™ solutions that reduce GenAI costs by up to 80% and accelerate time-to-market by 50%.
- • In this role, you will achieve technical leadership at the intersection of systems design, security engineering, and product strategy, gain deep expertise in government-grade AI systems, influence architecture across edge-to-cloud tiers, and establish yourself as a trusted advisor in federal IT environments while advancing open standards and NVIDIA-based AI infrastructure.
🎯 Requirements
- • 10+ years of software engineering experience, with at least 4 years in a principal architect, staff engineer, or equivalent technical leadership role
- • Proven track record designing large-scale distributed systems with real-time or near-real-time constraints — IoT telemetry pipelines, sensor fusion, or similar
- • Deep expertise with MQTT (broker architecture, QoS, retained messages, MQTT over TLS) and at least one complementary messaging/streaming technology (Kafka, AMQP, ROS 2, etc.)
- • Hands-on experience with the NVIDIA ecosystem: CUDA development, TensorRT optimization, Jetson or similar edge AI hardware, and NVIDIA NGC / Triton Inference Server
- • Solid understanding of Vehicle Signal Specification (VSS) or comparable hierarchical signal / data modeling standards for edge device abstraction
- • Practical knowledge of NIST SP 800-171 controls and experience translating them into concrete architecture and engineering requirements
- • Proficiency in containerized, cloud-native architectures: Kubernetes, Helm, service mesh, GitOps, and modern observability stacks (OpenTelemetry, Prometheus, Grafana)
- • Exceptional written and verbal communication skills — able to produce crisp architecture diagrams and documents for both engineering peers and non-technical government stakeholders
- • Ability to work effectively across globally distributed teams, exercising influence without direct authority
🏖️ Benefits
- • A mission-driven role with direct impact on critical infrastructure and public services across the United States
- • Full autonomy to shape a greenfield platform architecture from the ground up
- • Competitive compensation package including base salary, equity, and performance bonus — benchmarked globally
- • Flexible, fully remote work environment with async-first culture and periodic team on-sites
- • Access to cutting-edge NVIDIA GPU infrastructure for research and development
- • Dedicated learning & conference budget, and active participation in industry standards bodies
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Centific Global Technologies Pte. Ltd.
Centific is a data-centric AI services company providing data collection, annotation, and model validation solutions to enterprises and technology vendors. It operates a global crowd platform that combines human intelligence with automation to prepare, curate, and test datasets for computer vision, NLP, and generative AI applications. The company supports full AI lifecycle needs, from training data to reinforcement learning and model safety, serving industries including retail, automotive, healthcare, and technology. Headquartered in Singapore, Centific maintains delivery centers across Asia, Europe, and North America.
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