Job Description
The Future of Intelligence Starts Here
NexGen Dynamics is pioneering the technological landscape for the year 2026 and beyond. We are seeking a visionary Lead AI Architect to design and implement next-generation artificial intelligence systems that redefine human-machine interaction.
In this high-impact role, you will not just build models; you will architect the fundamental infrastructure required to scale AI capabilities to new heights. You will work at the intersection of deep learning, neural engineering, and scalable cloud architecture.
Why Join Us?
- Work on cutting-edge projects that shape the future.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a state-of-the-art office in SF.
If you are a technical leader passionate about the trajectory of AI, we want to hear from you.
Responsibilities
- Architectural Design: Lead the end-to-end design of scalable AI and machine learning infrastructure, ensuring high availability and performance for 2026 standards.
- Technical Strategy: Define the technical roadmap for our AI initiatives, selecting the right tools (TensorFlow, PyTorch, etc.) and methodologies.
- Team Leadership: Mentor a team of senior data scientists and engineers, fostering a culture of innovation and technical excellence.
- Model Optimization: Drive the optimization of neural networks and algorithms to improve inference speed and accuracy.
- Cross-Functional Collaboration: Partner with product managers and engineering teams to translate business requirements into robust technical solutions.
- R&D Exploration: Stay at the forefront of emerging AI trends, researching and prototyping new technologies relevant to the 2026 timeline.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture and deep learning.
- Technical Skills: Proficiency in Python, C++, and SQL. Extensive experience with frameworks like TensorFlow, PyTorch, or JAX.
- Cloud Expertise: Strong background in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Leadership: Demonstrated experience leading high-performance engineering teams and managing large-scale projects.
- Problem Solving: Exceptional analytical and problem-solving skills with a focus on scalability and efficiency.