Job Description
Architecting the Future of Intelligence.
Are you ready to define the technological landscape of 2026? Aether Systems is seeking a visionary Lead AI & Machine Learning Architect to spearhead our next generation of autonomous systems. This is not just a job; it is an opportunity to build the infrastructure that will power the world in the coming years.
We are looking for a pioneer who thrives in ambiguity and possesses the expertise to turn abstract futuristic concepts into scalable, production-ready reality. If you are obsessed with pushing the boundaries of what is possible with Artificial Intelligence, we want to hear from you.
Why join Aether Systems?
- Work on groundbreaking projects that will define the 2026 era of technology.
- Competitive compensation package with performance-based bonuses.
- Access to state-of-the-art compute clusters and proprietary datasets.
Responsibilities
- System Architecture: Design and oversee the end-to-end architecture for large-scale AI systems, ensuring scalability, security, and high availability.
- Strategic R&D: Lead research initiatives in Generative AI, NLP, and Computer Vision to stay ahead of the 2026 market curve.
- Team Leadership: Cultivate a high-performance engineering culture, mentoring junior architects and data scientists.
- Technical Vision: Translate abstract futuristic concepts into concrete technical roadmaps and deliverables.
- Compliance & Ethics: Ensure all AI deployments adhere to strict global ethical standards and regulatory guidelines.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 10+ years in software engineering, with at least 5 years specifically in AI/ML architecture.
- Technical Stack: Deep expertise in Python, TensorFlow, PyTorch, and cloud infrastructure (AWS/GCP/Azure).
- Problem Solving: Demonstrated ability to solve complex, unstructured problems with innovative solutions.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.