Job Description
Are you ready to define the technology of tomorrow? Nebula Horizon Labs is seeking a visionary AI Architect 2026 to lead our cutting-edge research division. In this pivotal role, you will bridge the gap between theoretical artificial intelligence and scalable, real-world engineering solutions. If you are passionate about building the infrastructure for the next generation of intelligent systems, we want to hear from you.
Our mission is to pioneer the AI landscape for the year 2026 and beyond. You will work in a dynamic, high-performance environment where innovation is not just encouraged but required. We are looking for a technical leader who can navigate the complexities of deep learning, large-scale distributed systems, and quantum-ready architectures.
Why Join Us?
- Competitive salary and equity package.
- Access to state-of-the-art computing resources and research grants.
- Flexible remote-first policy with a premium office in NYC.
Responsibilities
- Architect and design scalable AI infrastructure capable of supporting petabyte-scale data processing.
- Lead the research and implementation of next-generation Large Language Models (LLMs) and generative AI systems.
- Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
- Mentor and guide a team of senior data scientists and machine learning engineers.
- Define best practices for model deployment, monitoring, and ethical AI usage.
- Stay at the forefront of industry trends, including quantum computing integration and neuromorphic engineering.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field; PhD preferred.
- Minimum of 7+ years of experience in software engineering and machine learning architecture.
- Proven expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Apache Spark).
- Deep understanding of deep learning algorithms, neural networks, and natural language processing.
- Strong track record of leading high-impact technical projects from conception to production.
- Excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.