Job Description
Shape the Future of Intelligence
Nebula Dynamics is at the forefront of technological evolution, and we are looking for a visionary Strategic AI Architect to lead our roadmap through 2026. In this role, you will not just build models; you will architect the foundational systems designed to define the next generation of human-computer interaction. We are preparing for a future where AI seamlessly integrates into every layer of enterprise infrastructure.
Why Join Us?
- Work on cutting-edge Agentic AI systems.
- Competitive compensation and equity packages.
- Flexible remote-first culture with state-of-the-art offices.
Your Mission
As the 2026 Vision Lead, you will bridge the gap between theoretical research and production-grade deployment. You will oversee the migration to scalable, next-gen neural architectures that prioritize efficiency, ethics, and explainability.
Responsibilities
- Define and execute the technical roadmap for AI infrastructure leading up to 2026, ensuring scalability and future-proofing.
- Architect and optimize deep learning models capable of processing real-time, high-volume data streams.
- Lead a cross-functional team of ML engineers and data scientists to deploy Generative AI solutions across enterprise platforms.
- Establish best practices for AI governance, bias mitigation, and regulatory compliance.
- Conduct rigorous R&D to prototype breakthrough technologies in Natural Language Processing (NLP) and Computer Vision.
- Mentor junior engineers, fostering a culture of innovation and technical excellence.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Docker).
- Proven track record of deploying large-scale machine learning models in production environments.
- Experience with LLMs, RAG architectures, and prompt engineering for enterprise use cases.
- Strong leadership skills with the ability to communicate complex technical concepts to non-technical stakeholders.