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Senior AI Architect: Shaping the Future (2026)

Nexus Horizon AI
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are Nexus Horizon AI, a cutting-edge research lab dedicated to defining the technological landscape of 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our next-generation neural architecture initiatives. In this pivotal role, you will not just build models; you will architect the intelligence that powers autonomous systems, next-gen LLMs, and ethical AI frameworks for a rapidly evolving digital world.

Why Join Nexus Horizon AI?

  • Next-Gen Impact: Work on high-stakes Future Tech projects that will define the industry trajectory for the next decade.
  • Equity & Incentives: Competitive base salary paired with a substantial equity package and performance bonuses.
  • Flexible Culture: A premium office in the heart of SF with a flexible remote-first policy to support work-life balance.

Are you ready to build the future? Apply today.

Responsibilities

  • Architect Next-Gen Systems: Design scalable, fault-tolerant, and high-performance AI infrastructure tailored to exceed 2026 industry standards.
  • Model Optimization: Spearhead research and implementation of efficient transformer architectures and large language model fine-tuning.
  • Technical Leadership: Mentor a team of top-tier data scientists and engineers, fostering a culture of innovation and technical excellence.
  • Cross-Functional Collaboration: Partner with product and engineering teams to translate complex AI capabilities into user-centric applications.
  • R&D Strategy: Analyze emerging trends in AGI and edge computing to drive strategic roadmap decisions.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 5+ years of experience in designing AI systems at scale, with a proven portfolio of deployed production models.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Ray, Kubernetes).
  • Domain Knowledge: Deep understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Leadership: Proven track record of leading high-performing engineering teams through complex technical challenges.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Kubernetes AWS AI Architecture System Design Leadership

Ready to Take This Challenge?

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

Apply Now

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