Job Description
We are building the infrastructure for the future. Aether Dynamics is seeking a visionary Senior AI Architect to define the technological roadmap for the year 2026 and beyond. In this pivotal role, you will bridge the gap between theoretical research and scalable production systems, driving the next wave of generative AI and quantum-enhanced computing.
Join a team of elite engineers dedicated to solving humanity's hardest challenges through advanced technology. You will have the autonomy to innovate, the resources to experiment, and the impact to change the world.
Responsibilities
- Define the 2026 Roadmap: Lead the strategic vision for AI infrastructure, identifying emerging trends in neural networks and quantum computing to stay ahead of the curve.
- System Architecture: Design and oversee the implementation of scalable, high-performance AI systems capable of processing petabyte-scale data streams in real-time.
- Research & Development: Collaborate with R&D teams to prototype cutting-edge algorithms, focusing on efficiency, security, and ethical AI deployment.
- Talent Leadership: Mentor junior architects and engineers, fostering a culture of continuous learning and technical excellence within the engineering department.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and stakeholders to translate complex technical requirements into actionable engineering solutions.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
- Experience: 8+ years of experience in software engineering, with at least 4 years focused specifically on AI/ML architecture.
- Technical Skills: Deep expertise in Python, C++, and TensorFlow or PyTorch. Experience with quantum computing frameworks is a strong plus.
- Leadership: Proven track record of leading engineering teams and delivering complex projects on tight deadlines.
- Problem Solving: Exceptional analytical skills with the ability to troubleshoot complex system failures and optimize performance bottlenecks.