
Chief AI Software Architect
1 day ago
Job Overview
We are seeking a highly skilled Senior Full Stack Engineer to lead the development of our cutting-edge battlefield AI vision platform.
This is a high-velocity, AI-native role where you will leverage the latest AI development tools to build at unprecedented speed while maintaining enterprise-grade quality and security standards.
The successful candidate will be responsible for creating the entire software ecosystem that transforms our military object detection models into a production-ready, scalable platform that processes satellite imagery and delivers actionable intelligence.
The platform will comprise the following key components:
- Image Processing Pipeline: Automated systems for satellite image ingestion, preprocessing, and patch generation
- AI Model Integration Layer: Seamless integration of our object detection and classification models
- Quality Control Systems: Automated validation and human-in-the-loop review workflows
- Data Management Platform: Robust database systems for storing, indexing, and retrieving intelligence data
- End-User Interface: Intuitive platforms for intelligence dissemination and visualization
- Scalable Infrastructure: Cloud-native architecture handling large-scale data processing
To succeed in this role, you will need to demonstrate strong technical leadership skills, including:
- 5+ years of experience in software engineering with 2+ years in AI/ML system integration
- Proven track record of leading technical teams (2-10 developers)
- Experience shipping production ML/AI systems at scale
Additionally, you should possess advanced expertise in AI-native development, including:
- Expert-level proficiency in leveraging AI coding tools
- Demonstrated ability to use AI assistants for rapid prototyping, code generation, and debugging
- Experience with AI-powered testing, documentation, and deployment tools
- Track record of delivering projects 2-3x faster than traditional development approaches
The ideal candidate will have a strong understanding of the entire stack from data ingestion to user interfaces, as well as experience with cloud platforms, API development, DevOps, and container orchestration.
Ultimately, this role requires someone who can move at the speed of innovation while building systems that our users' missions depend on.
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