Job Description
Are you ready to define the technological landscape of tomorrow? 2026 Labs is seeking a visionary Senior AI Architect to spearhead our next-generation artificial intelligence initiatives. You won't just be writing code; you will be architecting the infrastructure that powers the future of intelligent systems. We are looking for a builder who thrives in ambiguity and is obsessed with pushing the boundaries of what is possible.
About the Role:
In this pivotal position, you will bridge the gap between theoretical research and production-grade engineering. You will be responsible for designing scalable, fault-tolerant machine learning pipelines that handle massive data streams in real-time. At 2026 Labs, we are not just preparing for the future; we are actively building it.
Responsibilities
- Architect & Deploy: Design and deploy scalable machine learning pipelines and neural network architectures optimized for high-throughput environments.
- R&D Leadership: Lead research and development in cutting-edge areas such as Generative AI, Reinforcement Learning, and Quantum-inspired algorithms.
- System Optimization: Oversee the optimization of large-scale distributed systems, ensuring low latency and high availability.
- Talent Mentorship: Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- Cross-Functional Collaboration: Partner with product managers and designers to translate complex AI requirements into robust, user-centric solutions.
- Model Governance: Implement MLOps strategies to ensure model integrity, security, and compliance across the entire lifecycle.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Physics, Mathematics, or a related field.
- Experience: 5+ years of professional experience in machine learning engineering, with at least 2 years in a senior architectural role.
- Languages: Proficiency in Python, PyTorch, TensorFlow, or JAX.
- Cloud Mastery: Deep understanding of cloud-native architecture on AWS, GCP, or Azure.
- Technical Depth: Strong grasp of distributed systems, database technologies (SQL/NoSQL), and microservices architecture.
- Soft Skills: Exceptional problem-solving skills, excellent communication abilities, and a passion for innovation.