Job Description
Shape the Future with 2026
2026 is the premier destination for forward-thinking engineers. We are building the infrastructure for tomorrow, today. As a Senior AI Architect, you will be instrumental in defining the core algorithms that power our next generation of intelligent systems.
Our team is driven by a mission to solve the world's most complex problems using cutting-edge artificial intelligence. We offer a competitive salary, equity package, and an environment that fosters radical innovation.
Why join us?
- Work on groundbreaking AI projects that scale globally.
- Collaborate with industry leaders in Silicon Valley.
- Flexible work arrangements and top-tier benefits.
Responsibilities
- Lead Architecture: Design and implement scalable machine learning architectures and data pipelines for high-traffic applications.
- Model Optimization: Drive the optimization of deep learning models for speed, accuracy, and resource efficiency.
- Research & Development: Stay at the forefront of AI research, integrating the latest advancements into our product roadmap.
- Team Leadership: Mentor a team of data scientists and engineers, fostering a culture of technical excellence and mentorship.
- System Design: Collaborate with backend and frontend teams to ensure seamless integration of AI features.
- Technical Strategy: Provide technical guidance on architecture decisions and best practices across the organization.
Qualifications
- Education: Master’s degree in Computer Science, Mathematics, or a related technical field; Ph.D. preferred.
- Experience: 7+ years of experience in software engineering with a focus on Artificial Intelligence and Machine Learning.
- Technical Proficiency: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
- Cloud Mastery: Strong experience deploying models on AWS, GCP, or Azure using Kubernetes and Docker.
- Problem Solving: Proven track record of solving complex technical challenges in production environments.
- Communication: Exceptional ability to communicate complex technical concepts to diverse stakeholders.