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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect – 2026 Horizon

Nexus Horizon Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to define the technological landscape of 2026?

Nexus Horizon Inc. is at the forefront of the next industrial revolution. We are seeking a visionary Lead AI Architect to spearhead our roadmap for the year 2026 and beyond. In this pivotal role, you will bridge the gap between theoretical AI breakthroughs and scalable, real-world infrastructure.

You will work in a high-performance environment where innovation is not just encouraged—it is required. If you possess an innate understanding of the future of machine learning and want to build the systems that will power the world in 2026, we want to hear from you.

Why join us?

  • Work on cutting-edge Generative AI and Autonomous Systems.
  • Competitive salary and equity package.
  • Unlimited PTO and top-tier health benefits.
  • Remote-first culture with hubs in SF and NYC.

Responsibilities

  • Architect the 2026 Roadmap: Design the long-term technical strategy for AI infrastructure, ensuring scalability, security, and performance for future workloads.
  • Lead High-Impact Projects: Oversee the development of proprietary Large Language Models and Neural Networks that will define our product suite.
  • Cross-Functional Collaboration: Partner with product managers, engineers, and designers to translate complex AI concepts into user-friendly applications.
  • Optimization & Efficiency: Implement advanced optimization techniques to reduce inference costs and latency in real-time AI systems.
  • Mentorship & Culture: Build and mentor a world-class engineering team, fostering a culture of continuous learning and technical excellence.

Qualifications

  • Experience: 8+ years of software engineering experience, with at least 4 years in a Lead or Architect role within Artificial Intelligence.
  • Technical Mastery: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems.
  • Education: Master’s degree or PhD in Computer Science, Machine Learning, or a related technical field.
  • System Design: Proven track record of designing scalable cloud-native architectures on AWS, Azure, or GCP.
  • Future-Forward Thinking: Demonstrated ability to anticipate industry trends and integrate emerging technologies (e.g., Quantum AI, Edge Computing) into existing frameworks.

Required Skills

Python Machine Learning TensorFlow System Architecture Cloud Computing AWS Generative AI Deep Learning Leadership Python

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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