Job Description
Are you ready to define the technology landscape of 2026?
Nebula Dynamics is seeking a visionary Future AI Architect to lead our strategic roadmap for the next decade. We are not just building software; we are architecting the very fabric of tomorrow's intelligent systems. In this role, you will bridge the gap between theoretical AI breakthroughs and scalable, ethical implementation.
As part of the Project 2026 initiative, you will work with a world-class team of futurists, engineers, and ethicists to build the infrastructure that powers autonomous decision-making and sentient computing interfaces.
Why join us?
- Shape the Future: Directly influence the core architecture of next-gen AI.
- Remote-First Culture: Work from anywhere in the US with state-of-the-art equipment.
- Equity Package: Competitive stock options in a high-growth unicorn.
- Premium Benefits: Health, dental, vision, and unlimited PTO.
Responsibilities
- Define and execute the technical vision for Project 2026, ensuring alignment with long-term business goals.
- Architect scalable, fault-tolerant neural network infrastructures capable of processing petabyte-scale data streams.
- Collaborate with cross-functional teams (R&D, Legal, UX) to ensure ethical AI deployment and compliance with emerging global standards.
- Identify and evaluate emerging AI technologies (e.g., AGI, Quantum AI) to integrate into our core product suite.
- Mentor senior engineering teams and establish best practices for machine learning operations (MLOps).
- Drive the roadmap for the transition from current AI capabilities to advanced autonomous agents by 2026.
Qualifications
- 10+ years of experience in Software Engineering, with at least 5 years in Artificial Intelligence and Machine Learning architecture.
- Proven track record of leading high-impact technical projects with a focus on scalability and future-proofing.
- Deep expertise in Deep Learning frameworks (TensorFlow, PyTorch) and distributed systems.
- Master’s degree or PhD in Computer Science, AI, or a related technical field (preferred).
- Strong understanding of AI ethics, bias mitigation, and regulatory compliance (GDPR, CCPA).
- Exceptional communication skills with the ability to translate complex technical concepts for diverse stakeholders.
- Experience working in fast-paced, startup environments or high-growth tech giants.