Job Description
Shape the Future of Technology in 2026.
Are you ready to architect the systems that will define the next era of human-computer interaction? Aether Dynamics is seeking a visionary Senior AI Architect to lead our mission in building resilient, scalable, and intelligent infrastructure for the year 2026 and beyond.
In this role, you won't just maintain existing systems; you will design the neural frameworks that power our next-generation autonomous agents and quantum-ready data pipelines. We are looking for a technical leader who thrives on ambiguity and possesses a deep understanding of the intersection between deep learning, distributed systems, and future-proof security protocols.
Why Join Us?
- Work on cutting-edge projects that push the boundaries of what is possible.
- Competitive compensation package and equity opportunities.
- Flexible remote-first culture with a presence in the heart of SF.
- Access to top-tier hardware and research resources.
Your Mission:
As a Senior AI Architect at Aether Dynamics, you will be responsible for the end-to-end technical vision of our core AI infrastructure. You will bridge the gap between theoretical research and production-grade engineering, ensuring our systems are robust, efficient, and ready for the demands of a hyper-connected future.
Responsibilities
- Design and implement scalable neural network architectures tailored for 2026 deployment scenarios.
- Lead the integration of quantum-resistant cryptographic algorithms into AI model pipelines.
- Optimize real-time data processing systems to support high-frequency autonomous decision-making.
- Collaborate with product and research teams to translate strategic goals into technical roadmaps.
- Mentor and guide a team of talented engineers, fostering a culture of innovation and excellence.
- Ensure system resilience and data privacy compliance in a post-quantum landscape.
Qualifications
- Masterβs degree or PhD in Computer Science, Mathematics, or a related field.
- 7+ years of experience in AI/ML architecture, system design, and deep learning.
- Strong proficiency in Python, TensorFlow, PyTorch, or JAX.
- Deep understanding of transformer models and generative adversarial networks.
- Experience with cloud infrastructure (AWS, GCP) and edge computing environments.
- Proven track record of delivering high-impact technical solutions under tight deadlines.