Job Description
We are building the infrastructure for the next generation of artificial intelligence. As a Senior AI Architect at Quantum Dynamics, you will spearhead the development of autonomous agentic systems and next-gen neural networks designed to operate seamlessly in the year 2026 and beyond.
Join a team of visionaries pushing the boundaries of Machine Learning, Deep Learning, and Computational Intelligence. You will define the architectural standards for scalable, secure, and ethical AI solutions that will redefine human-machine interaction.
Why Join Us?
We offer a competitive compensation package, equity options, and the opportunity to work on cutting-edge projects that will shape the technological landscape of the future.
Responsibilities
- Design and implement scalable AI architectures for large-scale distributed systems, focusing on performance and efficiency.
- Lead the research and development of Agentic AI models capable of complex decision-making and autonomous execution.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate technical concepts into business value.
- Establish best practices for model training, validation, and deployment in production environments.
- Ensure AI systems adhere to ethical guidelines, safety protocols, and regulatory compliance standards.
- Conduct rigorous code reviews and technical architecture reviews to maintain high engineering standards.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering and machine learning architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, AWS, GCP).
- Proven experience designing and deploying Large Language Models (LLMs) or Generative AI solutions.
- Strong understanding of neural networks, natural language processing, and computer vision.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.