Job Description
Are you ready to define the technological landscape of the future? Aether Dynamics is seeking a visionary Senior AI Architect to spearhead our Project 2026 initiative.
As we bridge the gap between current machine learning capabilities and the AGI (Artificial General Intelligence) era of 2026, we need a technical leader who can architect scalable, secure, and transformative systems. You will work at the intersection of neural networks, quantum algorithms, and large-scale distributed systems.
Why join us? We are a top-tier research lab pushing the boundaries of what is possible. You will have the autonomy to experiment, the resources to build, and the impact to change the world.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement the core infrastructure for our 2026-era predictive models and autonomous agents.
- Lead Research Integration: Translate cutting-edge academic research into production-ready code and scalable platforms.
- Optimize Neural Architectures: Enhance model latency and accuracy using advanced optimization techniques and hardware acceleration.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and security experts to ensure technical feasibility.
- Future-Proofing: Anticipate emerging trends in AI, such as neuromorphic computing, to ensure our solutions remain relevant through 2026 and beyond.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 7+ years of experience in software engineering, with a minimum of 4 years specializing in Machine Learning and Deep Learning.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (Kubernetes, Apache Spark).
- System Design: Demonstrated ability to design fault-tolerant, high-throughput systems capable of handling petabyte-scale data.
- Vision: A strong understanding of the AI roadmap leading up to 2026, including Generative AI and Synthetic Data.