Job Description
Orbital Dynamics is pioneering the next generation of intelligent systems. We are seeking a visionary AI Systems Architect to design the resilient, scalable infrastructure required for our 2026 roadmap. In this role, you will bridge the gap between cutting-edge machine learning research and robust, production-grade software architecture.
As we prepare for the rapid evolution of AI in the enterprise space, we need a leader who can architect systems that are not only powerful today but adaptable for the future. You will work closely with data scientists and software engineers to deploy large-scale models while ensuring data integrity and low-latency performance.
Responsibilities
- Design and implement scalable distributed AI infrastructure capable of handling petabyte-scale data processing.
- Architect high-availability systems that ensure 99.99% uptime for our core inference engines.
- Define technical roadmaps and architectural patterns for future AI capabilities, specifically targeting the 2026 market landscape.
- Collaborate with ML engineers to optimize model serving latency and resource utilization.
- Establish best practices for security, privacy, and compliance in AI model deployment.
- Lead code reviews and mentor junior architects on system design principles.
Qualifications
- Master’s degree in Computer Science, Engineering, or a related field; PhD preferred.
- Minimum of 7 years of experience in software architecture, with at least 3 years specifically in AI/ML systems.
- Deep expertise in Python, Java, or Go, and experience with AI frameworks such as TensorFlow, PyTorch, or JAX.
- Proven experience designing cloud-native architectures on AWS, Azure, or GCP.
- Strong understanding of MLOps, CI/CD pipelines, and containerization technologies (Docker, Kubernetes).
- Experience with vector databases and RAG (Retrieval-Augmented Generation) architectures.