Job Description
Are you ready to architect the future of intelligence? Nebula Systems Inc. is seeking a visionary Senior AI Architect (2026 Vision) to lead our next generation of generative models and autonomous agents.
In this pivotal role, you will define the technical strategy for our AI infrastructure, ensuring scalability, security, and performance for deployments in 2026 and beyond. You will work at the intersection of deep learning, distributed systems, and cloud-native engineering to build the operating system for tomorrow.
Why Join Us?
We are building the foundation for the next industrial revolution. You will have the autonomy to experiment with bleeding-edge technologies and the resources to ship production-grade solutions that impact millions of users worldwide.
Responsibilities
- Architect Design: Design and implement scalable neural network architectures and ML pipelines optimized for high-throughput inference and real-time decision making.
- Technical Leadership: Mentor a high-performing team of junior ML engineers and data scientists, fostering a culture of innovation and technical excellence.
- Research & Development: Explore emerging paradigms in Artificial General Intelligence (AGI) and apply them to solve complex, real-world business problems.
- System Optimization: Drive performance improvements in latency, memory usage, and energy efficiency for large-scale models running on global infrastructures.
- Strategic Planning: Collaborate with C-suite executives to define the 2026 technology roadmap and translate business objectives into technical roadmaps.
- Infrastructure Security: Ensure all AI models and data pipelines adhere to the highest security standards and compliance regulations (GDPR, SOC2).
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a strong focus on AI/ML.
- Experience: 8+ years of experience in software engineering, with at least 5 years specializing in Deep Learning, Machine Learning, and NLP.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (Kubernetes, Ray, Apache Spark).
- Problem Solving: Proven track record of solving complex technical challenges, optimizing large-scale systems, and deploying robust ML models to production.
- Communication: Exceptional ability to translate complex technical concepts into actionable insights for non-technical stakeholders and investors.
- Innovation: A passion for staying ahead of industry trends and a demonstrated portfolio of innovative projects or patents.