Job Description
Are you ready to define the technological landscape of the future? Aetheria Technologies is seeking a visionary Lead AI Architect to spearhead our 2026 roadmap.
In this pivotal role, you will architect next-generation neural networks and predictive systems designed to handle the complexity of tomorrow's data streams. We are building the infrastructure that will power the autonomous era, and you will be at the forefront of this revolution.
Why join us?
- Work with cutting-edge tech stack including Python, C++, and distributed cloud systems.
- Shape the strategic direction of AI infrastructure for 2026 and beyond.
- Competitive compensation and equity packages.
We are looking for a builder, not just a user of technology. If you are passionate about pushing the boundaries of what is possible in Artificial Intelligence, we want to hear from you.
Responsibilities
- Architect Scalable Systems: Design and implement robust, scalable machine learning pipelines capable of processing petabytes of real-time data.
- Lead 2026 Roadmap: Define the technical vision for AI advancements, specifically focusing on predictive analytics and generative models.
- Spatial Computing Integration: Oversee the integration of AI with spatial computing environments to enhance user interaction and data visualization.
- Model Optimization: Optimize deep learning models for high-performance inference on edge devices and heterogeneous hardware.
- Technical Mentorship: Lead a team of 8+ senior engineers, fostering a culture of innovation, code quality, and continuous learning.
- Collaboration: Partner with product managers and data scientists to translate business requirements into technical architecture.
Qualifications
- Experience: 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Education: Master’s degree or PhD in Computer Science, Mathematics, Statistics, or a related technical field.
- Programming: Deep proficiency in Python, C++, and experience with GPU acceleration frameworks (CUDA, OpenCL).
- Frameworks: Expert knowledge of TensorFlow, PyTorch, or JAX, with a track record of deploying models to production.
- Cloud Mastery: Extensive experience designing architectures on AWS, GCP, or Azure.
- Problem Solving: Proven ability to solve complex technical challenges in large-scale distributed systems.