Job Description
We are looking for a visionary Lead AI Architect to define the technological roadmap for 2026. In an era defined by rapid evolution and next-gen intelligence, you will be at the helm of designing scalable, autonomous, and secure systems. Join Nebula Dynamics in San Francisco and help build the infrastructure that will power the future of enterprise automation and human-machine symbiosis.
Why This Role Matters:
This is not just a job; it is a mission to future-proof our organization. As we look toward 2026, the integration of Agentic AI and advanced neural interfaces will redefine the workplace. We need a leader who can bridge the gap between theoretical advancements and practical, high-performance engineering.
Responsibilities
- Architect and deploy autonomous AI agents capable of complex decision-making in 2026-standard environments.
- Lead the migration of legacy infrastructure to quantum-ready cloud systems to ensure security and scalability.
- Define the technical strategy for integrating Generative AI with real-time data streams to drive predictive analytics.
- Collaborate with cross-functional teams to implement Neural Interface protocols for next-gen user experiences.
- Mentor senior engineers and set coding standards for the next generation of software development.
- Conduct rigorous security audits and implement post-quantum cryptography measures.
- Prioritize ethical AI development and ensure compliance with emerging 2026 regulatory frameworks.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in Artificial Intelligence and Machine Learning.
- Deep expertise in Python, PyTorch, and TensorFlow, with demonstrated success in deploying LLMs at scale.
- Strong background in Distributed Systems and high-availability cloud architecture (AWS/GCP/Azure).
- Experience with Quantum Computing concepts or a willingness to master quantum-resistant algorithms.
- Proven track record of leading engineering teams and managing complex technical projects.
- Excellent communication skills with the ability to translate complex technical concepts into business value.
- Bachelor’s or Master’s degree in Computer Science, Robotics, or a related field.