Job Description
We are seeking a visionary Senior AI Architect to spearhead the Project 2026 initiative—a next-generation framework designed to redefine the boundaries of autonomous decision-making and generative intelligence.
In this high-impact role, you will design scalable, fault-tolerant neural architectures and lead the engineering team in deploying state-of-the-art Large Language Models (LLMs) to production. You will bridge the gap between theoretical research and practical application, ensuring our systems are not only powerful but also secure and efficient.
If you are passionate about building the infrastructure that will power the future of technology, we invite you to join our elite engineering division in the heart of Silicon Valley.
Responsibilities
- Architect and optimize deep learning pipelines for the Project 2026 ecosystem, focusing on scalability and low-latency inference.
- Lead the research and implementation of advanced model fine-tuning and quantization techniques.
- Collaborate with cross-functional teams to define technical requirements and architectural standards for AI-driven products.
- Implement rigorous MLOps practices, including automated model retraining, A/B testing, and CI/CD integration.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Ensure system reliability and security compliance for all deployed AI models.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- 7+ years of professional experience in machine learning engineering or applied AI research.
- Deep expertise in PyTorch, TensorFlow, or JAX.
- Proven track record of deploying LLMs (e.g., GPT-4, Llama 3) in high-traffic production environments.
- Strong proficiency in Python, CUDA, and distributed computing systems (Kubernetes, Ray).
- Experience with cloud infrastructure (AWS, GCP) and edge computing technologies.