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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 250.000
Live Update
27 Mei 2026
Deadline
27 Mei 2027

Job Description

We are at the precipice of a technological revolution. Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead our strategic initiatives for the 2026 roadmap. You won't just be building models; you will be architecting the intelligent infrastructure that will define the next generation of enterprise solutions. If you are passionate about pushing the boundaries of Artificial Intelligence and preparing systems for the demands of 2026, we want to hear from you.


Why Join Us?

  • Work on cutting-edge Generative AI and Large Language Models.
  • Shape the technical strategy for our 2026 product launch.
  • Competitive compensation package and equity opportunities.
  • Remote-first culture with a San Francisco core team.

Responsibilities

  • Architect 2026-Ready AI Systems: Design scalable, robust, and secure machine learning architectures capable of handling massive data throughput and real-time inference.
  • Model Development & Optimization: Lead the research and development of proprietary LLMs and deep learning models, focusing on performance optimization and cost efficiency.
  • Strategic Roadmap Planning: Define the technical vision and milestones for our AI initiatives leading up to and beyond 2026.
  • Cross-Functional Leadership: Collaborate with data engineers, product managers, and stakeholders to translate business requirements into technical AI solutions.
  • MLOps Implementation: Establish and maintain CI/CD pipelines for machine learning, ensuring seamless deployment and monitoring of production models.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 5+ years of professional experience in machine learning engineering, with a proven track record of deploying AI models to production.
  • Technical Skills: Expert proficiency in Python, TensorFlow, PyTorch, and Scikit-learn. Deep understanding of NLP and Computer Vision.
  • Cloud Mastery: Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Problem Solving: Exceptional ability to solve complex, ambiguous problems with innovative algorithmic solutions.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP AWS Kubernetes MLOps Generative AI Large Language Models

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