Job Description
We are seeking a visionary Senior AI Architect to lead our research and development initiatives for the next decade. At Aether Dynamics, we are building the infrastructure that will power the world in 2026 and beyond. You will be responsible for architecting scalable, secure, and ethically sound artificial intelligence systems that redefine industry standards.
As a key member of our elite technical team, you will bridge the gap between theoretical research and production-grade engineering. If you are passionate about the future of AGI, Generative Models, and sustainable computing, we want to meet you.
Responsibilities
- Architect Next-Gen AI Solutions: Design and implement scalable machine learning pipelines and deep learning frameworks optimized for high-performance computing environments.
- Strategic R&D Leadership: Lead the research direction for emerging technologies, specifically focusing on Large Language Models (LLMs), Neural Architecture Search, and Quantum-Ready Algorithms.
- System Integration: Oversee the integration of AI models into cloud-native architectures, ensuring seamless interoperability across distributed systems.
- Mentorship & Culture: Foster a culture of innovation by mentoring junior engineers and conducting technical workshops to upskill the engineering team.
- Ethical AI Compliance: Ensure all AI deployments adhere to strict ethical guidelines, bias mitigation protocols, and data privacy regulations (GDPR/CCPA).
Qualifications
- Experience: 8+ years of software engineering experience with at least 4 years in machine learning and AI architecture.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (Kubernetes, Apache Spark).
- Advanced Degrees: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Problem Solving: Proven track record of solving complex technical challenges in high-scale production environments.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.