Job Description
Shape the trajectory of the future. Aetheria Dynamics is pioneering the next generation of synthetic intelligence. We are looking for a visionary Principal AI Architect to lead our 2026 strategic roadmap, focusing on scalable, energy-efficient, and autonomous AI systems. If you are an engineer who thrives at the intersection of theoretical research and production-grade engineering, this is your opportunity to build the infrastructure of tomorrow.
As a key architect within our elite team, you will define the technical DNA of our flagship products, ensuring our AI models are not only powerful but also responsible and sustainable.
Responsibilities
- Define the 2026 AI Roadmap: Lead the architectural vision for next-generation machine learning systems, setting the standard for industry innovation.
- Design Scalable Infrastructures: Architect high-throughput, low-latency systems capable of processing petabytes of data in real-time.
- Optimize Model Efficiency: Spearhead research into model quantization and edge-computing deployment to reduce computational costs by up to 40%.
- Lead Technical Research: Collaborate with PhD researchers to integrate cutting-edge breakthroughs (e.g., Neuromorphic Computing) into practical applications.
- Mentorship: Cultivate a culture of excellence, mentoring senior engineers and defining technical best practices across the organization.
- Security & Ethics: Implement rigorous safety protocols and ethical guardrails to ensure AI alignment and data privacy.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- Experience: 8+ years of professional experience in AI/ML architecture, with at least 3 years in a leadership or principal engineering role.
- Technical Mastery: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems (Kubernetes, Apache Spark).
- Research Background: Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or shipping complex AI products to market.
- Problem Solving: Exceptional ability to solve ambiguous problems and bridge the gap between academic research and industrial application.
- Communication: Superior ability to articulate complex technical concepts to non-technical stakeholders and executive leadership.