Job Description
We are on the precipice of a technological revolution. Aether Dynamics is seeking a visionary Lead AI Architect to spearhead the development of our next-generation neural infrastructure leading up to the pivotal year of 2026. If you are passionate about pushing the boundaries of artificial intelligence, machine learning, and scalable system design, this is your opportunity to define the future.
In this high-impact role, you will bridge the gap between theoretical AI research and production-grade engineering. You will lead a world-class team of engineers and data scientists, architecting systems that are not only robust and scalable but also ethically aligned with the future of humanity.
Why Join Us?
- Shape the roadmap for 2026 and beyond.
- Work with cutting-edge technologies in a fully remote-first, high-performance environment.
- Competitive compensation package and equity options.
Don't just build software; build the future. Apply today.
Responsibilities
- Architect Scalable AI Systems: Design and implement complex, large-scale machine learning pipelines and neural network architectures capable of handling petabyte-scale data.
- Technical Leadership: Mentor and guide a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Strategic Roadmapping: Define the technical vision and roadmap for our AI products, ensuring alignment with business goals and the 2026 strategic milestones.
- Research Integration: Evaluate and integrate the latest advancements in Deep Learning, NLP, and Reinforcement Learning into our core platform.
- Performance Optimization: Continuously monitor and optimize model latency, accuracy, and resource utilization to ensure a seamless user experience.
- Cross-Functional Collaboration: Partner with product managers, designers, and stakeholders to translate complex technical concepts into actionable product features.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Experience: 8+ years of professional experience in software engineering and 4+ years of specific experience in designing AI/ML systems at scale.
- Technical Skills: Proficiency in Python, C++, and frameworks such as TensorFlow, PyTorch, or JAX.
- System Design: Deep understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization technologies (Docker/Kubernetes).
- Leadership: Proven track record of leading engineering teams and managing cross-functional projects.
- Communication: Exceptional ability to communicate complex technical ideas to non-technical stakeholders.