Job Description
Join Aethelgard Systems, the vanguard of next-generation intelligence. We are defining the technological landscape for the year 2026 and beyond, building autonomous systems that do not just process data but understand intent.
As our Lead AI Architect, you will be responsible for architecting the neural infrastructure that powers our flagship predictive ecosystem. This is not a standard software engineering role; it is a chance to shape the future of synthetic cognition. You will work at the intersection of deep learning, ethical AI, and scalable distributed systems.
Why join us? We offer competitive compensation, stock options, and a remote-first culture that values intellectual freedom.
Responsibilities
- Design and implement scalable, self-evolving neural architectures for autonomous decision-making systems.
- Lead a high-performance team of data scientists and ML engineers in R&D initiatives targeting the 2026 technology roadmap.
- Ensure all AI models adhere to rigorous ethical guidelines, safety protocols, and bias mitigation standards.
- Collaborate with product leadership to translate complex algorithmic concepts into intuitive, user-centric applications.
- Optimize inference pipelines for ultra-low latency in high-throughput, real-time environments.
- Define the technical vision and long-term strategy for our machine learning infrastructure.
Qualifications
- Master’s degree or PhD in Computer Science, Mathematics, Physics, or a related quantitative field.
- 10+ years of experience in machine learning, deep learning, and software engineering.
- Proven track record of deploying production-grade AI systems that handle massive datasets.
- Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- Experience with cloud infrastructure (AWS/GCP/Azure) and containerization (Docker/K8s).