Job Description
We are seeking a visionary Senior AI Architect to lead our cutting-edge '2026 Vision' initiative. At Aether Dynamics, we are not just building software; we are architecting the future of human-machine interaction. This is a rare opportunity to define the technical standards for the next generation of autonomous systems.
In this role, you will bridge the gap between theoretical research and production-grade engineering, ensuring our solutions are scalable, secure, and revolutionary. You will work alongside world-class researchers and engineers to deploy AI models that redefine industry benchmarks.
Responsibilities
- Lead Architecture: Design and implement the core architecture for next-generation AI systems and autonomous agents.
- R&D Leadership: Spearhead research initiatives focused on neural network optimization and generative AI capabilities for the 2026 roadmap.
- Scalability: Ensure systems are built to scale efficiently across distributed cloud environments, handling millions of transactions with low latency.
- Tech Stack Definition: Establish and enforce best practices for coding, security, and deployment pipelines within the AI division.
- Collaboration: Partner with product managers and stakeholders to translate complex technical requirements into actionable engineering strategies.
- Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
- Performance Tuning: Optimize model inference speeds and resource utilization to maximize hardware efficiency.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Robotics, or a related technical field.
- Experience: 8+ years of professional experience in software engineering, with at least 4 years specifically in AI/ML architecture.
- Technical Skills: Proficiency in Python, C++, and deep learning frameworks (TensorFlow, PyTorch, or JAX).
- System Design: Strong experience designing distributed systems and microservices architectures.
- Leadership: Proven track record of leading technical teams and managing cross-functional projects.
- Problem Solving: Exceptional ability to troubleshoot complex, ambiguous technical challenges.
- Communication: Excellent verbal and written communication skills, capable of presenting technical concepts to non-technical audiences.