Job Description
Are you ready to define the future of technology? 2026 Dynamics is at the forefront of tomorrow's innovations, building the AI infrastructure that will power the next decade. We are seeking a visionary Senior AI Architect to lead our core research and development team in San Francisco. If you have a passion for pushing the boundaries of what is possible with artificial intelligence and quantum computing, this is your opportunity to shape the legacy of 2026.
As a key member of our elite technical team, you will be responsible for architecting scalable machine learning systems, optimizing neural networks for next-gen processing, and mentoring a team of world-class engineers. Join us in building the technologies of the future, today.
Responsibilities
- Architect & Design: Lead the end-to-end design and implementation of scalable AI/ML infrastructure and predictive models for enterprise solutions.
- Research & Innovation: Conduct cutting-edge research into advanced algorithms, deep learning frameworks, and future-ready AI paradigms.
- Performance Optimization: Fine-tune model performance and reduce latency in high-volume production environments to ensure real-time processing.
- Team Leadership: Mentor junior developers and engineers, fostering a culture of technical excellence, innovation, and continuous learning.
- Strategic Planning: Collaborate with product and business stakeholders to define technical roadmaps and align AI capabilities with long-term business goals.
- Code Quality: Establish and enforce best practices for coding, documentation, and software architecture within the engineering department.
Qualifications
- Education: Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience: Minimum of 5+ years of professional experience in software engineering, with at least 3 years specifically focused on AI/ML architecture and deployment.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS, GCP, or Azure).
- Leadership: Proven track record of leading technical teams and delivering complex projects on time and within budget.
- Problem Solving: Strong ability to troubleshoot complex system issues and optimize large-scale data pipelines.
- Communication: Exceptional verbal and written communication skills, capable of translating complex technical concepts for diverse audiences.