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Future Tech AI Architect | San Francisco, CA

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

Job Description

Architecting the Future of Intelligence.

Nexus Horizon is at the forefront of the 2026 technology revolution. We are seeking a visionary Future Tech AI Architect to lead the development of scalable, ethical, and revolutionary AI systems. If you are passionate about pushing the boundaries of neural networks, predictive modeling, and autonomous systems, this is your opportunity to shape the digital landscape of tomorrow.

As a key member of our elite engineering team, you will define the architectural strategy for our next-generation AI products, ensuring they are robust, secure, and ready for the demands of the future.

Responsibilities

  • Lead Architectural Strategy: Design and oversee the implementation of high-performance AI architectures aligned with our 2026 product roadmap.
  • Advanced Model Development: Spearhead the development of Large Language Models (LLMs) and generative AI systems to solve complex business problems.
  • Technical Innovation: Research and prototype cutting-edge technologies, including quantum-ready algorithms and edge AI solutions.
  • Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of technical excellence and continuous innovation.
  • System Optimization: Optimize existing models for speed, accuracy, and scalability across distributed cloud environments.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field.
  • Experience: 5+ years of experience in AI/ML engineering, with at least 2 years in a Lead or Architect role.
  • Technical Expertise: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, AWS).
  • Domain Knowledge: Deep understanding of Deep Learning, NLP, Computer Vision, and Reinforcement Learning.
  • Soft Skills: Exceptional problem-solving skills, ability to communicate complex technical concepts to non-technical stakeholders, and a passion for the future of technology.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems AI Architecture Cloud Computing NLP Leadership 2026 Future Tech

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