Job Description
The Future of Intelligence is Here.
NovaTech Dynamics is pioneering the next generation of Artificial Intelligence. As we look toward the AI landscape of 2026, we are seeking a visionary Senior AI Architect to lead our cutting-edge research and deployment of Large Language Models (LLMs). You will be responsible for architecting systems that redefine human-computer interaction, moving beyond simple automation to true cognitive partnership. If you are obsessed with performance, scalability, and ethical AI, this is your opportunity to build the infrastructure of tomorrow.
Why Join Us?
- Work with state-of-the-art GPUs and cloud infrastructure.
- Shape the ethical guidelines and technical standards for the industry.
- Competitive equity package and top-tier compensation.
- Remote-first culture with access to our SF innovation hub.
Role Overview:
As a Senior AI Architect, you will bridge the gap between theoretical machine learning research and production-grade software engineering. You will lead a team of brilliant engineers in deploying models that are not only accurate but also efficient and responsible.
Responsibilities
- Architect and deploy scalable Generative AI models and LLMs for enterprise integration.
- Design and optimize inference pipelines to ensure low-latency, high-throughput performance.
- Lead research into fine-tuning strategies and Retrieval-Augmented Generation (RAG) architectures.
- Collaborate with product teams to translate complex AI capabilities into user-friendly applications.
- Ensure model robustness, fairness, and safety through rigorous testing and evaluation.
- Mentor junior engineers and data scientists, fostering a culture of continuous learning.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 5+ years of experience in Machine Learning, Deep Learning, or Natural Language Processing.
- Deep expertise in Python, PyTorch, and TensorFlow.
- Proven track record of deploying production-ready models at scale.
- Experience with vector databases (e.g., Pinecone, Milvus) and cloud platforms (AWS, GCP, or Azure).
- Strong understanding of distributed systems and high-availability architecture.