Job Description
Are you ready to define the technological landscape of 2026? Aether Logic is seeking a visionary Senior AI Architect to lead our cutting-edge Research and Development division. We are not just building software; we are architecting the future of Artificial General Intelligence (AGI). In this pivotal role, you will be responsible for designing the neural architectures that will power the next generation of autonomous systems, specifically targeting deployment milestones aligned with the 2026 roadmap. You will work in a high-performance environment that demands innovation, precision, and a passion for solving humanity's most complex challenges through code. Join us and help shape the trajectory of technology for the next decade.
Responsibilities
- Architect Next-Gen Systems: Design and deploy scalable, high-performance neural networks and machine learning models focused on the 2026 target architecture.
- Roadmap Execution: Lead the technical strategy for the 2026 deployment, defining milestones, KPIs, and technical risks.
- Model Optimization: Research and implement state-of-the-art algorithms to improve model accuracy, speed, and energy efficiency.
- Ethical AI Oversight: Ensure all AI systems adhere to strict ethical guidelines and safety protocols, preventing bias and ensuring fairness.
- Team Leadership: Mentor a team of talented engineers and data scientists, fostering a culture of continuous learning and innovation.
- Technical Consulting: Collaborate with product and engineering teams to translate advanced research into practical, scalable software solutions.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence or Machine Learning.
- Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years in a senior leadership or architect role.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Ray, Kubernetes).
- Research: Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or open-source contributions to major ML libraries.
- System Design: Strong understanding of system design, database architecture, and cloud infrastructure (AWS/GCP).
- Strategic Vision: Ability to think long-term and translate complex research concepts into actionable engineering roadmaps.