Job Description
Are you ready to architect the intelligence of tomorrow? Aetheria Labs is pioneering the 2026 Vision, a revolutionary initiative to integrate General AI with quantum computing. We are seeking a visionary Lead AI Architect to lead our core engineering team in building the next generation of autonomous systems.
In this role, you won't just write code; you will define the architectural paradigms for the year 2026 and beyond. You will bridge the gap between theoretical machine learning breakthroughs and scalable, production-ready software. If you are obsessed with pushing the boundaries of what is possible in Artificial Intelligence, we want to meet you.
Why Aetheria Labs?
We are the architects of the future. Our mission is to solve the world's most complex challenges through advanced computational intelligence. Join a team of elite engineers, researchers, and futurists dedicated to the 2026 roadmap.
Responsibilities
- Architect the 2026 Roadmap: Lead the technical vision for integrating Large Language Models (LLMs) with next-gen quantum processors.
- System Design: Design and implement resilient, high-throughput AI infrastructure capable of processing petabytes of real-time data.
- Team Leadership: Mentor a diverse team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Algorithm Development: Spearhead research into novel neural architectures, focusing on efficiency and explainability.
- Collaboration: Work closely with product managers and stakeholders to translate complex AI capabilities into user-centric features.
- Performance Optimization: Continuously optimize model inference latency and resource utilization for edge deployment.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
- Experience: 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Tech Stack: Deep expertise in Python, PyTorch, TensorFlow, and experience with quantum computing libraries (e.g., Cirq, Qiskit).
- Leadership: Proven track record of leading high-performance engineering teams in a fast-paced startup environment.
- Innovation: Demonstrated ability to research and implement cutting-edge algorithms (e.g., Transformers, GANs, Reinforcement Learning).
- Communication: Exceptional verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.