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Senior AI Architect - 2026 Vision | San Francisco, CA

Nexus Horizon
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the future of intelligence? Nexus Horizon is pioneering the next generation of autonomous AI systems, and we are looking for a visionary Senior AI Architect to lead our strategic engineering initiatives.

In this pivotal role, you won't just build models; you will define the architectural standards for the 2026 technological paradigm. You will bridge the gap between theoretical machine learning breakthroughs and scalable, real-world applications. If you are passionate about the ethical implementation of Generative AI and Quantum-Ready Algorithms, join us in shaping the digital frontier.

Why Nexus Horizon?

  • Work on cutting-edge projects that define the industry standards for the next decade.
  • Competitive compensation package including equity options and performance bonuses.
  • Flexible remote-first policy with a premium tech ecosystem.

Responsibilities

  • Design and implement scalable, fault-tolerant AI infrastructure capable of handling exabyte-scale data.
  • Lead the architecture of next-generation Large Language Models (LLMs) and generative adversarial networks (GANs).
  • Collaborate with cross-functional teams to integrate AI agents into consumer hardware and software ecosystems.
  • Establish best practices for AI ethics, bias mitigation, and transparency in automated decision-making.
  • Oversee the migration of legacy systems to quantum-ready cloud environments.
  • Mentor junior engineers and conduct technical workshops on advanced neural architecture search (NAS).

Qualifications

  • Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • Minimum of 8 years of experience in software engineering with a focus on Machine Learning and Deep Learning.
  • Deep expertise in Python, Rust, and high-performance computing environments.
  • Proven track record of deploying production-grade AI models at scale.
  • Strong understanding of distributed systems, microservices, and containerization (Kubernetes/Docker).
  • Experience with NLP, Computer Vision, or Reinforcement Learning frameworks.

Required Skills

Python Machine Learning Deep Learning System Design Cloud Architecture Rust Kubernetes NLP Computer Vision

Ready to Take This Challenge?

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