Job Description
Join 2026 Labs, the vanguard of technological innovation, as we architect the systems that will define the next decade. We are seeking a visionary Senior AI Architect to lead the development of cutting-edge artificial intelligence solutions. If you thrive in a dynamic environment and are passionate about pushing the boundaries of what is possible with machine learning and data infrastructure, this is your opportunity to shape the future.
In this pivotal role, you will be responsible for designing scalable, robust AI systems that power our flagship products. You will bridge the gap between theoretical research and practical implementation, ensuring our solutions are not only powerful but also accessible and efficient.
Responsibilities
- System Architecture: Design and oversee the implementation of scalable AI and machine learning infrastructure, ensuring high availability and performance.
- Model Development: Lead the development and deployment of state-of-the-art deep learning models, including LLMs and computer vision systems.
- Technical Strategy: Define the technical roadmap for AI initiatives, evaluating emerging technologies to drive innovation.
- Cross-Functional Leadership: Collaborate closely with data scientists, software engineers, and product managers to deliver integrated, high-impact solutions.
- Code Quality & Standards: Establish and enforce best practices for code quality, testing, and documentation within the engineering team.
- Research & Pioneering: Stay at the forefront of industry trends and contribute to internal research on novel AI methodologies.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 7+ years of experience in software engineering with a specific focus on machine learning and AI systems.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and experience with MLOps tools (MLflow, Kubeflow).
- Cloud Mastery: Proven experience architecting solutions on major cloud platforms (AWS, GCP, or Azure).
- Problem Solving: Demonstrated ability to solve complex, ambiguous technical problems and drive projects from conception to production.
- Communication: Exceptional ability to communicate complex technical concepts to diverse stakeholders.