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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect 2026 | San Francisco

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus Horizon Labs is seeking a visionary Lead AI Architect to spearhead our next-generation infrastructure. We are building the systems that will power the autonomous future, and we need a pioneer who thrives on complex challenges and groundbreaking innovation.

In this pivotal role, you will design and implement scalable AI architectures that bridge the gap between theoretical research and production-ready applications. You will lead a team of elite engineers, setting the standard for excellence in the industry. If you have a passion for the future and the technical prowess to build it, we want to hear from you.

Why Join Nexus Horizon Labs?

  • Work on cutting-edge projects that define the era of 2026.
  • Competitive salary and equity package.
  • Top-tier benefits including health, wellness, and continuous learning stipends.
  • Flexible work environment in the heart of San Francisco.

Responsibilities

  • Architect Next-Gen Systems: Design and oversee the deployment of robust, scalable AI and machine learning infrastructure designed for future scalability.
  • Lead R&D Initiatives: Spearhead research into emerging technologies, including generative AI, neural networks, and edge computing integration.
  • Technical Strategy: Define the technical roadmap for AI adoption, ensuring alignment with business goals and 2026 industry standards.
  • Team Leadership: Mentor and manage a high-performance team of data scientists and engineers, fostering a culture of innovation and technical excellence.
  • Performance Optimization: Continuously monitor and optimize model performance, latency, and throughput in real-world environments.
  • Stakeholder Collaboration: Communicate complex technical concepts to non-technical stakeholders and drive cross-functional collaboration.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 8+ years of professional experience in software engineering and AI/ML development, with at least 3 years in a leadership or architectural role.
  • Technical Expertise: Deep proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • System Design: Proven ability to design large-scale distributed systems and handle high-velocity data streams.
  • Problem Solving: Exceptional analytical and problem-solving skills with a track record of delivering innovative solutions under pressure.
  • Communication: Excellent verbal and written communication skills, capable of articulating complex technical visions.

Required Skills

Python Machine Learning TensorFlow PyTorch System Design Distributed Systems AI Architecture Leadership Neural Networks

Ready to Take This Challenge?

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