Job Description
We are seeking a visionary Lead AI Architect to define the technological horizon for 2026. In this pivotal role, you will bridge the gap between theoretical AI capabilities and scalable production infrastructure.
Our mission is to build the systems that will power the digital world of tomorrow. You will not just maintain existing tech; you will engineer the foundation for the next generation of intelligent applications, ensuring we are ahead of the curve by the time we reach the 2026 target date.
Why Join Nebula Systems?
We offer a competitive package, equity packages, and the opportunity to work on cutting-edge projects that will shape the industry landscape. You will be at the forefront of innovation, working with top-tier talent to solve humanity's most complex problems.
Responsibilities
- Define and execute the 2026 AI Roadmap in close collaboration with executive leadership and product teams.
- Design high-performance, scalable distributed systems for complex machine learning models and neural networks.
- Lead a team of senior engineers, fostering a culture of innovation, technical excellence, and mentorship.
- Architect robust data pipelines and MLOps strategies to ensure seamless deployment and real-time decision-making.
- Evaluate emerging AI technologies (Generative AI, Large Language Models) and integrate them into our ecosystem.
- Ensure security, compliance, and ethical standards in all AI implementations and data usage.
- Present technical strategies to stakeholders with the ability to translate complex concepts into business value.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 8+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
- Proven track record of leading engineering teams and delivering complex systems under tight deadlines.
- Strong understanding of cloud platforms (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.