Job Description
Join Orbit Systems as we pioneer the technological landscape of 2026. We are at the forefront of integrating next-generation Artificial Intelligence with scalable cloud infrastructure. We are seeking a visionary Principal AI Architect to design the systems that will power the future of enterprise automation.
In this high-impact role, you will bridge the gap between theoretical AI research and practical, high-performance engineering. You will lead a team of elite engineers in developing scalable machine learning models and quantum-ready algorithms. If you are passionate about the future of computing and want to build the foundational tech for the next decade, we want to hear from you.
Why join Orbit Systems?
- Work on cutting-edge technologies that define the 2026 roadmap.
- Competitive compensation and equity package.
- Flexible remote-first culture with top-tier equipment.
Responsibilities
- Design and architect scalable, high-performance AI systems capable of handling exabyte-scale data processing.
- Lead the research and implementation of advanced machine learning algorithms, including Large Language Models (LLMs) and generative AI.
- Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
- Define technical roadmaps and best practices for AI engineering within the organization.
- Mentor senior engineers and junior developers, fostering a culture of innovation and continuous learning.
- Evaluate and select emerging technologies to ensure Orbit Systems remains at the bleeding edge of the industry.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Proven experience deploying large-scale machine learning models in production environments.
- Deep expertise in Python, C++, and frameworks such as PyTorch, TensorFlow, or JAX.
- Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and microservices.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.