Job Description
Are you ready to architect the future of intelligent systems?
2026 Technologies is pioneering the next generation of neural interfaces and autonomous systems. We are looking for a visionary Senior AI Architect to lead our core infrastructure team. In this role, you won't just be writing code; you will be defining the computational paradigms that will power the world in the year 2026 and beyond.
Join a team of elite engineers and researchers committed to pushing the boundaries of what is possible. We offer competitive compensation, equity packages, and the opportunity to work on projects that redefine human-machine interaction.
Responsibilities
- Architect Scalable AI Systems: Design and implement high-performance, fault-tolerant machine learning infrastructure capable of processing petabytes of real-time data.
- Lead Research Implementation: Translate cutting-edge academic research into production-ready deep learning models and algorithms.
- Mentorship & Culture: Provide technical leadership and mentorship to junior engineers, fostering a culture of innovation and continuous learning.
- Optimization: Drive performance optimization strategies to ensure low-latency inference and efficient resource utilization on edge devices and cloud environments.
- Collaboration: Partner with product managers and cross-functional teams to define technical requirements and roadmaps for futuristic consumer products.
- Security & Ethics: Ensure all AI systems adhere to strict security protocols and ethical guidelines regarding AI bias and transparency.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.
- Experience: 5+ years of professional experience in building large-scale machine learning systems.
- Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Ray, Kubernetes, Spark).
- Model Engineering: Extensive experience in fine-tuning Large Language Models (LLMs) and deploying MLOps pipelines.
- Problem Solving: Exceptional ability to troubleshoot complex system bottlenecks and architectural challenges.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.