Job Description
Join the Future of Innovation at 2026 Systems
Are you ready to architect the technologies that will define the next decade? 2026 Systems is seeking a visionary Senior Artificial Intelligence Architect to lead our flagship initiative, Project 2026. We are building the next generation of generative AI and autonomous decision-making systems that will revolutionize industries.
In this role, you will not just write code; you will shape the foundational architecture of future intelligence. You will work alongside world-class researchers and engineers in a high-performance environment, pushing the boundaries of what is possible in machine learning and neural networks.
Why Join Us?
- Work on cutting-edge technology that is 3 years ahead of the market.
- Competitive compensation package with equity options.
- Unlimited PTO and a fully remote-first culture with premium hubs.
- Access to the latest hardware for AI research.
Responsibilities
- Architectural Leadership: Design and oversee the development of scalable, robust deep learning architectures for large-scale neural networks.
- Model Optimization: Drive research and implementation to optimize model accuracy, latency, and efficiency for real-time applications.
- R&D Strategy: Collaborate with the research team to define technical roadmaps and explore emerging AI paradigms (e.g., Quantum AI, Neuro-symbolic computing).
- System Integration: Integrate AI models into complex software ecosystems, ensuring seamless data flow and interoperability.
- Mentorship: Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- Performance Monitoring: Establish and maintain rigorous monitoring standards for model performance and system health.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, Physics, or a related field.
- Experience: 8+ years of professional experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Technical Stack: Deep expertise in Python, PyTorch, or TensorFlow. Strong proficiency in C++ for performance-critical components.
- System Design: Proven track record of designing distributed systems that handle high throughput and low latency.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and cross-functional teams.
- Tools: Experience with MLOps platforms (e.g., MLflow, Kubeflow) and cloud infrastructure (AWS/GCP/Azure).