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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI & Future Systems Architect

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Nexus Horizon Technologies is looking for a visionary Lead AI & Future Systems Architect to spearhead the development of our next-generation intelligent platforms. As we look toward the technological landscape of 2026, we need a leader who can design robust, scalable, and ethical artificial intelligence systems that set the industry standard.

In this pivotal role, you will bridge the gap between theoretical research and practical engineering, ensuring our solutions are ready for the demands of the future. You will define the architectural DNA of our products, ensuring they are not just functional today, but revolutionary for the coming decade.

Responsibilities

  • Architect and deploy scalable AI infrastructure capable of handling high-volume, low-latency applications.
  • Lead research and development initiatives focused on autonomous systems and predictive modeling.
  • Define and enforce architectural best practices, security protocols, and data governance frameworks.
  • Mentor a team of senior engineers and data scientists to foster technical excellence and innovation.
  • Collaborate with product managers to translate business goals into cutting-edge technical roadmaps.
  • Stay ahead of emerging trends in AI, Quantum Computing, and Edge Intelligence to maintain a competitive edge.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • 10+ years of professional experience in software architecture and machine learning engineering.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Proven experience designing systems that handle petabyte-scale data with high availability.
  • Strong background in AI ethics, bias mitigation, and regulatory compliance.
  • Demonstrated leadership skills with a track record of managing cross-functional engineering teams.

Required Skills

Python Machine Learning Artificial Intelligence Software Architecture TensorFlow PyTorch Distributed Systems AI Ethics Leadership Cloud Computing Big Data

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