Job Description
The Future is Here. We are building the systems that will define the year 2026. At Nebula Future Systems, we are not just predicting the future; we are architecting it. We are looking for a visionary Senior AI Architect to lead the development of next-generation autonomous agents and Agentic Workflows.
In this high-impact role, you will bridge the gap between theoretical Artificial General Intelligence (AGI) and practical, scalable infrastructure. You will design the neural architectures that power our autonomous decision-making engines, integrating seamlessly with spatial computing environments and next-gen hardware interfaces.
If you are obsessed with pushing the boundaries of what AI can achieve and want to leave a legacy in the technology of 2026, we want to hear from you.
Responsibilities
- Architect and implement scalable deep learning models for autonomous agents and reinforcement learning systems.
- Lead the research and development roadmap for 2026 AI capabilities, focusing on reasoning, planning, and multi-modal interaction.
- Collaborate with hardware engineering teams to optimize model inference on edge devices and next-gen neural processing units.
- Design robust data pipelines and simulation environments for training safe and ethical AI agents.
- Mentor a team of top-tier ML engineers and researchers, fostering a culture of innovation and technical excellence.
- Ensure system scalability, security, and ethical alignment in all deployed AI solutions.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field with 8+ years of experience.
- Deep expertise in machine learning frameworks (PyTorch, TensorFlow, JAX) and distributed systems.
- Proven track record of leading large-scale AI projects, preferably in autonomous systems, robotics, or LLMs.
- Strong understanding of transformer architectures, attention mechanisms, and generative AI models.
- Experience with MLOps, model serving infrastructure, and cloud-native technologies (AWS/GCP).
- Exceptional problem-solving skills and the ability to communicate complex technical concepts to diverse stakeholders.