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Lead AI Architect - Project 2026 Initiative | San Francisco, CA

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

Job Description

Are you ready to define the future of intelligent systems? Nexus Horizon is seeking a visionary Lead AI Architect to spearhead our groundbreaking Project 2026 initiative. We are building the infrastructure for a new era of autonomous decision-making, and we need a technical pioneer to lead the charge.

In this pivotal role, you will bridge the gap between theoretical AI research and scalable production engineering. You will architect systems capable of processing petabytes of data in real-time, ensuring our 2026 roadmap becomes a reality. If you thrive in high-stakes environments and want to leave a lasting legacy in the tech industry, we want to hear from you.

Responsibilities

  • Architect and implement scalable, high-performance AI models for the Project 2026 ecosystem, ensuring zero-latency inference.
  • Lead a cross-functional team of data scientists, ML engineers, and researchers to drive the roadmap from conception to deployment.
  • Optimize deep learning pipelines and hardware utilization to maximize efficiency and reduce operational costs.
  • Establish best practices for code quality, testing, and deployment in a CI/CD environment.
  • Collaborate with product leadership to translate complex technical requirements into innovative AI solutions.
  • Stay at the forefront of AI advancements, evaluating and integrating cutting-edge technologies into our core architecture.

Qualifications

  • Master’s or PhD degree in Computer Science, Machine Learning, or a related quantitative field.
  • 10+ years of professional experience in software engineering, with at least 5 years focused on AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven track record of deploying large-scale machine learning systems to production.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Exceptional leadership skills with the ability to mentor senior engineers and influence technical strategy.

Required Skills

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

Ready to Take This Challenge?

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