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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Systems Architect (2026 Vision) - San Francisco, CA

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

Job Description

We are seeking a visionary Senior AI Systems Architect to lead the technological transformation for our upcoming 2026 roadmap. As a pioneer in next-gen predictive analytics, we are building the infrastructure that will define the future of enterprise intelligence. If you are passionate about pushing the boundaries of machine learning and want to shape the digital landscape of 2026, this is your opportunity.


Why Join Us?

  • Work on cutting-edge Generative AI and Quantum Computing interfaces.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with a hub in San Francisco.

Key Responsibilities:

Responsibilities

  • Define and execute the technical architecture for the 2026 product roadmap, focusing on scalability and AI integration.
  • Lead a team of engineers in developing Deep Learning models for real-time data processing.
  • Collaborate with product managers to translate business requirements into technical specifications.
  • Ensure system reliability, security, and performance across all cloud-native environments.
  • Mentor junior developers and establish best practices for full-stack development.
  • Research and prototype emerging technologies relevant to the 2026 era.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Minimum of 8+ years of experience in Systems Architecture and Machine Learning.
  • Expert proficiency in Python, TensorFlow, or PyTorch.
  • Strong experience with AWS, Azure, or GCP cloud services.
  • Proven track record of deploying large-scale AI solutions in production environments.
  • Exceptional problem-solving skills and a passion for innovation.

Required Skills

Python TensorFlow PyTorch AWS Azure GCP System Architecture Machine Learning Deep Learning Cloud Computing

Ready to Take This Challenge?

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