Job Description
We are looking for a visionary Senior AI Architect to spearhead the technological roadmap for 2026. At Aether Dynamics, we are building the infrastructure that will define the next generation of intelligent systems. In this role, you will bridge the gap between theoretical AI research and scalable, production-grade engineering.
You will be responsible for architecting '2026-ready' systems that leverage Generative AI, Autonomous Agents, and Quantum-ready algorithms. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to lead a world-class engineering team, we want to hear from you.
Why Join Us?
- Work on cutting-edge technology that will define the future.
- Competitive compensation package and equity options.
- Flexible remote-first policy with a premium San Francisco office.
Responsibilities
- Architect 2026-Ready AI Systems: Design scalable, fault-tolerant machine learning infrastructure capable of handling petabyte-scale data and real-time inference.
- Lead AI Strategy: Define the long-term technical vision for our AI platforms, ensuring alignment with business goals and industry trends.
- MLOps & Deployment: Oversee the end-to-end MLOps lifecycle, implementing CI/CD pipelines for model training and deployment.
- Research Integration: Evaluate and integrate emerging AI research (e.g., LLMs, Diffusion Models) into production workflows.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Performance Optimization: Continuously optimize model latency, throughput, and cost-efficiency.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field (or equivalent experience).
- Experience: 8+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture.
- Technical Skills: Deep proficiency in Python, PyTorch, or TensorFlow. Experience with large language models (GPT, LLaMA, etc.) and generative AI frameworks.
- Cloud Expertise: Proven track record designing systems on AWS, GCP, or Azure.
- Problem Solving: Demonstrated ability to solve complex, ambiguous engineering problems at scale.
- Communication: Exceptional ability to communicate technical concepts to non-technical stakeholders and leadership.