Job Description
Are you ready to define the technological landscape of 2026? Nebula Future Labs is seeking a visionary Senior AI Architect to spearhead the development of next-generation artificial intelligence systems. In this pivotal role, you won't just build models; you will architect the foundational intelligence that will power enterprise solutions a decade from now.
We are building the future of autonomous systems and predictive analytics. As our lead AI Architect, you will bridge the gap between theoretical research and practical application, ensuring our solutions are robust, scalable, and revolutionary.
Responsibilities
- Architectural Leadership: Design and implement scalable AI/ML architectures aligned with the 2026 strategic roadmap, focusing on generative AI and quantum-ready systems.
- Research & Innovation: Lead the research and integration of cutting-edge technologies, staying ahead of industry trends to implement state-of-the-art models.
- Team Mentorship: Mentor a high-performing team of data scientists and engineers, fostering a culture of innovation, technical excellence, and continuous learning.
- Infrastructure Optimization: Oversee the optimization of complex data pipelines to handle exabyte-scale data processing and low-latency inference.
- Strategic Collaboration: Partner with cross-functional product and engineering teams to translate high-level business requirements into actionable technical AI solutions.
- Model Deployment: Manage the full lifecycle of AI models from experimentation to production deployment using MLOps best practices.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience: 8+ years of experience in software engineering, data science, and machine learning.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and Keras; strong understanding of distributed computing.
- Cloud Mastery: Proven experience designing systems on AWS, GCP, or Azure, with proficiency in Docker and Kubernetes.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems with innovative technical approaches.
- Communication: Exceptional verbal and written communication skills, capable of explaining complex concepts to diverse stakeholders.