Job Description
Are you ready to architect the next paradigm of artificial intelligence?
At Aether Dynamics, we aren't just predicting the future; we are building the infrastructure for 2026 and beyond. We are seeking a visionary Senior Generative AI Architect to lead our research division in developing proprietary Large Language Models (LLMs) and multimodal generative systems.
In this role, you will bridge the gap between theoretical breakthroughs and scalable production systems. You will define the technical roadmap for our flagship AI products, ensuring they are not only state-of-the-art but also safe, efficient, and ethically aligned with the future of human-computer interaction.
If you thrive in a high-velocity, innovative environment and want to leave a legacy in the tech landscape, we want to meet you.
Responsibilities
- Architect Next-Gen Models: Design and implement cutting-edge Generative AI architectures, including large-scale Transformer models, diffusion models, and reinforcement learning agents.
- Optimization & Scaling: Lead initiatives to optimize model inference latency and reduce token costs, ensuring our solutions are commercially viable at scale.
- R&D Leadership: Conduct high-level research to explore emerging techniques (e.g., agentic workflows, memory-augmented reasoning) and evaluate their feasibility for 2026 product cycles.
- Ethical AI Governance: Establish and enforce internal guidelines for responsible AI, ensuring fairness, transparency, and bias mitigation in generated outputs.
- Cross-Functional Collaboration: Partner with product, engineering, and legal teams to translate complex AI capabilities into user-friendly features.
- Team Mentorship: Guide a team of ML researchers and engineers, fostering a culture of innovation, technical excellence, and continuous learning.
Qualifications
- Advanced Degree: PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative field.
- Technical Mastery: Deep expertise in Deep Learning, Natural Language Processing (NLP), and PyTorch/TensorFlow frameworks.
- Experience: 5+ years of industry experience building and deploying large-scale machine learning systems, with a specific focus on Generative AI or LLMs.
- Code Proficiency: Expert-level proficiency in Python and C++ for performance engineering and model serving.
- System Design: Proven track record of designing distributed systems capable of handling petabytes of data and high concurrency.
- Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders and executive leadership.