Job Description
The Future is Now. Are you ready to architect the intelligent systems of 2026 and beyond? Aether Dynamics is seeking a visionary Lead AI Architect to spearhead our next-generation generative intelligence platform. We are not just building software; we are defining the trajectory of human-machine collaboration.
As a key leader in our technical team, you will bridge the gap between theoretical AI research and scalable production systems. You will be responsible for designing robust, secure, and high-performance neural architectures that power our global ecosystem. If you thrive in a fast-paced, high-impact environment and want to leave a legacy in the tech landscape, this is your opportunity.
Responsibilities
- Architectural Leadership: Design and oversee the end-to-end architecture of large-scale AI models, ensuring scalability, reliability, and performance for 2026 and beyond.
- Technical Strategy: Define the technical roadmap for AI capabilities, evaluating emerging technologies (e.g., Quantum Computing integration, advanced LLMs) to stay ahead of industry trends.
- Team Mentorship: Guide a diverse team of engineers and data scientists, fostering a culture of innovation, continuous learning, and technical excellence.
- System Optimization: Drive initiatives to reduce inference latency and optimize training pipelines, handling billions of data points efficiently.
- Stakeholder Collaboration: Translate complex technical concepts into clear business value for executive leadership and product stakeholders.
- Security & Compliance: Implement rigorous security protocols and ethical AI guidelines to ensure data privacy and model integrity.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related field (PhD preferred).
- Experience: 10+ years of experience in software engineering with a minimum of 5 years in leading AI/ML architecture roles.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, AWS, GCP).
- Model Engineering: Proven track record of deploying production-ready Large Language Models (LLMs) and Generative AI systems.
- Problem Solving: Exceptional ability to solve complex, ambiguous problems and navigate the trade-offs of system design.
- Leadership: Demonstrated experience in managing cross-functional teams and leading technical initiatives from conception to deployment.