Job Description
We are Aether Dynamics, a frontier technology firm redefining the boundaries of artificial intelligence. We are seeking a visionary Lead AI Architect to spearhead our roadmap for 2026 and beyond.
In this pivotal role, you will not just manage code; you will architect the neural foundations of our next-generation platform. You will bridge the gap between theoretical machine learning breakthroughs and scalable, production-ready engineering solutions.
Why join us?
- Work on cutting-edge projects that define the future of human-machine interaction.
- Competitive compensation and equity packages.
- Flexible remote-first culture with state-of-the-art equipment.
If you are a technical leader passionate about the future, we want to hear from you.
Responsibilities
- Architectural Vision: Lead the technical strategy for our 2026 AI roadmap, ensuring scalability and resilience.
- Model Development: Design and deploy state-of-the-art neural network architectures for complex problem-solving.
- Team Leadership: Mentor a high-performing team of ML engineers and data scientists, fostering a culture of innovation.
- System Optimization: Drive performance optimization strategies to reduce latency and improve inference speeds.
- Cross-Functional Collaboration: Partner with product and engineering teams to translate business needs into technical requirements.
- Technical Governance: Establish coding standards, review processes, and best practices for AI development.
Qualifications
- Experience: 8+ years of experience in software engineering, with at least 4 years in AI/ML architecture.
- Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Education: Master’s degree in Computer Science, Mathematics, or a related technical field.
- Cloud Expertise: Proven track record deploying models on AWS, GCP, or Azure.
- Problem Solving: Strong ability to troubleshoot complex system bottlenecks and architectural challenges.
- Leadership: Demonstrated experience leading engineering teams and managing project lifecycles.