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Information Technology 🏒 Full Time ⭐️ Verified

Principal AI Architect | 2026 Systems

2026 Systems
New York
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are looking for a visionary Principal AI Architect to join 2026 Systems. As we race towards the technological singularity of 2026, you will be at the forefront of designing scalable, secure, and ethical artificial intelligence systems that redefine human-machine interaction.

Our mission is to engineer the future, and we need a leader who can bridge the gap between theoretical breakthroughs and practical application. If you thrive in high-pressure environments and want to leave a legacy in the tech landscape of tomorrow, this is your stage.

Responsibilities

  • Lead the architectural design and implementation of next-generation AI models and neural networks.
  • Collaborate with cross-functional teams to define the technical roadmap for 2026 and beyond.
  • Optimize large-scale distributed systems to handle real-time data processing at petabyte scales.
  • Ensure the security, privacy, and ethical compliance of all AI deployments.
  • Mentor senior engineers and drive technical excellence across the organization.
  • Research emerging technologies, including quantum computing integration and edge AI.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Proven track record of leading high-performing engineering teams through complex product lifecycles.
  • Strong understanding of cloud infrastructure (AWS, Azure, or GCP).
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Artificial Intelligence System Architecture Distributed Systems Cloud Computing TensorFlow PyTorch Leadership

Ready to Take This Challenge?

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