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Lead AI Architect (2026 Readiness) | San Francisco, CA

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 165.000 – USD 240.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are on the cutting edge of defining the technological landscape for the year 2026. Nexus Horizon Systems is seeking a visionary Lead AI Architect to spearhead the next generation of scalable, intelligent infrastructure. In this role, you will bridge the gap between theoretical AI research and production-ready systems, ensuring our platforms are future-proof and ready to dominate the market.

Why Join Us?

  • Impactful Work: Architect systems that will power millions of interactions in the coming years.
  • Future-First Culture: We don't just follow trends; we define them.
  • Competitive Package: Top-tier compensation and equity for top-tier talent.

If you are passionate about pushing the boundaries of what's possible in Artificial Intelligence and System Architecture, we want to hear from you.

Responsibilities

  • Architect Future-Proof Systems: Design and oversee the development of scalable AI infrastructure capable of handling exponential growth by 2026.
  • Model Deployment: Lead the end-to-end lifecycle of deploying large-scale machine learning models, including fine-tuning and optimization.
  • Technical Strategy: Define the technical roadmap for AI integration, ensuring alignment with business goals and emerging industry standards.
  • Cross-Functional Leadership: Collaborate with data scientists, software engineers, and product managers to translate complex requirements into technical solutions.
  • Performance Optimization: Continuously monitor system performance, latency, and cost-efficiency to ensure high availability.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 7+ years of experience in software engineering and machine learning architecture.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, AWS, GCP).
  • Leadership: Proven track record of leading engineering teams and managing large-scale projects.
  • Forward-Thinking: Demonstrated ability to anticipate future technological shifts and adapt architectural strategies accordingly.

Required Skills

Python TensorFlow PyTorch Kubernetes AWS Machine Learning Distributed Systems System Architecture Deep Learning

Ready to Take This Challenge?

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

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