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Information Technology 🏒 Full Time ⭐️ Verified

Principal AI Architect

Nexus 2026
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

About Nexus 2026

We are pioneering the next generation of artificial intelligence infrastructure. As a leader in the future-tech sector, we are looking for a visionary Principal AI Architect to design scalable, robust systems that will define the digital landscape of 2026 and beyond.

Why Join Us?

Work at the intersection of quantum computing and neural networks. We offer top-tier compensation, remote-first flexibility, and the opportunity to shape the future of technology.

Responsibilities

  • Architectural Leadership: Design and oversee the development of high-performance AI systems and scalable cloud infrastructure.
  • Technology Strategy: Evaluate emerging technologies (e.g., Generative AI, LLMs, Edge Computing) and integrate them into our core product stack.
  • Team Mentorship: Guide a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • System Optimization: Drive performance optimization initiatives to reduce latency and improve model inference speeds.
  • Stakeholder Collaboration: Translate complex technical concepts into actionable strategies for executive leadership and product teams.
  • R&D: Spearhead research projects exploring the frontiers of machine learning and predictive analytics.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 8+ years of experience in software engineering, with at least 3 years in a senior architectural role.
  • Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Cloud Mastery: Proficiency in AWS, Google Cloud Platform, or Azure with a focus on AI/ML services.
  • Problem Solving: Demonstrated ability to solve complex, large-scale technical challenges.
  • Leadership: Proven track record of managing high-performing engineering teams.

Required Skills

Python Machine Learning Cloud Computing AI Distributed Systems TensorFlow PyTorch AWS Architecture Leadership

Ready to Take This Challenge?

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