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Senior AI Architect - 2026 Vision

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Nexus Horizon Labs is at the forefront of defining the technological landscape of 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our next-generation research division. If you are passionate about pushing the boundaries of what is possible with Generative AI and Autonomous Systems, this is your opportunity to build the future of intelligent automation.

Why Join Us?
We offer a competitive compensation package, comprehensive benefits, and the chance to work on projects that will shape the industry for years to come. You will have the autonomy to experiment, innovate, and lead a team of elite engineers.

Responsibilities

  • Architect Design: Design and deploy scalable machine learning infrastructure tailored for future-proof applications and high-volume data processing.
  • Research Leadership: Lead research initiatives in Large Language Models (LLMs), Vector Databases, and Computer Vision to stay ahead of the 2026 technology curve.
  • Model Optimization: Optimize model performance for latency, accuracy, and cost-efficiency across cloud and edge environments.
  • Production Deployment: Collaborate with cross-functional teams to translate theoretical research into production-ready products and APIs.
  • Ethics & Safety: Establish and enforce best practices for AI ethics, bias mitigation, and safety protocols.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field (equivalent experience accepted).
  • Experience: 5+ years of experience in building and deploying production-level AI systems.
  • Technical Stack: Expert proficiency in Python, PyTorch, TensorFlow, and modern MLOps tools.
  • Domain Knowledge: Deep understanding of LLMs, fine-tuning, RAG architectures, and NLP.
  • Soft Skills: Strong problem-solving skills, excellent communication abilities, and a track record of leading technical teams.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow MLOps AWS Docker Kubernetes Generative AI LLMs

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