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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

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

Job Description

Are you ready to define the technological landscape of the future? Nexus Horizon Labs is seeking a visionary Senior AI Architect (2026 Vision) to lead our cutting-edge research and development initiatives. In this pivotal role, you won't just be building models; you will architect the systems that will power the world in 2026 and beyond.

We are looking for a strategic thinker with deep technical expertise who is passionate about the next generation of Artificial Intelligence. You will collaborate with world-class engineers, data scientists, and product strategists to build scalable, ethical, and transformative AI solutions.

Why Join Us?

  • Impactful Work: Build the foundational technologies of tomorrow.
  • Competitive Compensation: Base salary up to $250,000 + equity.
  • Flexible Environment: Hybrid work model in the heart of San Francisco.

Responsibilities

  • Design and deploy scalable AI infrastructure tailored for 2026-era computing environments.
  • Lead the architectural vision for predictive modeling and generative AI systems.
  • Conduct feasibility studies and prototype novel algorithms with high potential for commercialization.
  • Establish best practices for AI ethics, data privacy, and model transparency.
  • Partner with cross-functional teams to translate complex AI capabilities into user-centric products.
  • Stay ahead of emerging trends in Quantum AI and Neuromorphic computing.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • 10+ years of experience in AI/ML engineering, with at least 5 years in a leadership or architectural capacity.
  • Deep proficiency in Python, PyTorch, TensorFlow, and modern MLOps tools.
  • Proven track record of delivering large-scale machine learning projects.
  • Strong communication skills with the ability to bridge the gap between technical teams and executive stakeholders.
  • Experience with cloud platforms (AWS, GCP, Azure) and distributed systems.

Required Skills

Python Machine Learning Artificial Intelligence System Design MLOps PyTorch TensorFlow Cloud Computing Data Architecture

Ready to Take This Challenge?

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