Job Description
Are you ready to architect the intelligence of tomorrow? Orbital AI Systems is on the hunt for a visionary Senior AI Architect to define our roadmap for 2026 and beyond. As we push the boundaries of Generative AI and Cognitive Computing, you will lead the design of scalable, ethical, and high-performance neural architectures that power the next generation of digital experiences.
In this pivotal role, you won't just maintain existing systems; you will pioneer new paradigms in machine learning that bridge the gap between theoretical research and production-ready applications. If you thrive in a fast-paced, futuristic environment and want to shape the ethical standards of AI, apply today.
Responsibilities
- Design and implement cutting-edge neural network architectures tailored for 2026 enterprise needs, focusing on scalability and low-latency inference.
- Lead the R&D strategy for our upcoming Generative AI models, ensuring they meet rigorous safety and ethical guidelines.
- Collaborate with cross-functional teams of data scientists and engineers to translate complex algorithms into robust software solutions.
- Mentor junior engineers, fostering a culture of innovation, continuous learning, and technical excellence.
- Optimize existing ML pipelines to reduce computational overhead and improve model accuracy.
- Conduct rigorous testing and validation of AI systems to ensure reliability in high-stakes environments.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- 7+ years of experience in machine learning engineering, with at least 3 years in a senior architectural or leadership role.
- Deep proficiency in Python, TensorFlow, PyTorch, or JAX.
- Strong understanding of Large Language Models (LLMs), Transformer architectures, and Reinforcement Learning.
- Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.