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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Vision

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

Job Description

We are building the infrastructure for the future. Nexus Horizon Labs is seeking a Senior AI Architect to lead our 2026 Vision initiative, focusing on next-generation Generative AI and Autonomous Systems. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to meet you.

Why Join Us?

  • Work on cutting-edge projects that define the next decade of technology.
  • Competitive compensation and equity packages.
  • Flexible remote and hybrid work options.

Responsibilities

  • Architectural Leadership: Design scalable, high-performance AI systems capable of processing petabytes of data for the 2026 roadmap.
  • Model Optimization: Lead the research and implementation of advanced optimization techniques for Large Language Models (LLMs) and Transformers.
  • System Integration: Integrate AI solutions into cloud-native infrastructures, ensuring seamless deployment and minimal latency.
  • Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • R&D Strategy: Stay ahead of industry trends to define the technical roadmap for our 2026 and 2027 product releases.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 7+ years of professional experience in software engineering or machine learning research.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and CUDA.
  • Cloud Expertise: Strong experience with AWS, Google Cloud Platform, or Azure.
  • Problem Solving: Proven track record of solving complex, large-scale engineering challenges.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow CUDA AWS Machine Learning Deep Learning Large Language Models System Architecture Cloud Computing

Ready to Take This Challenge?

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