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Senior AI Architect (2026 Focus)

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

Job Description

Shape the Future of Intelligence.

Nexus Horizon AI is pioneering the technological landscape for the year 2026. We are seeking a visionary Senior AI Architect to design and deploy next-generation artificial intelligence systems that redefine human-machine interaction. In this role, you will bridge the gap between theoretical deep learning and scalable production infrastructure, ensuring our models are not only cutting-edge but also ethically grounded and efficient.


Why Join Us?

  • Work on mission-critical projects that define the AI standards for the mid-2020s.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with a vibrant San Francisco hub.
  • Access to the latest hardware and research tools.

Responsibilities

  • Architect & Deploy: Design and implement scalable deep learning architectures for Generative AI and Large Language Models (LLMs).
  • Optimization: Continuously optimize model inference latency and resource utilization to handle millions of concurrent requests.
  • Data Strategy: Lead the strategy for high-volume data ingestion, cleaning, and feature engineering pipelines.
  • Collaboration: Partner with product managers and engineering teams to translate complex AI concepts into user-friendly applications.
  • Ethics & Compliance: Establish frameworks for AI safety, bias mitigation, and responsible AI governance.
  • R&D: Stay ahead of the curve by researching emerging paradigms in neural networks and quantum computing integration.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, Physics, or a related technical field.
  • Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or AI research.
  • Tech Stack: Expert proficiency in Python, PyTorch, TensorFlow, and CUDA.
  • Cloud Mastery: Proven track record of deploying models on AWS, GCP, or Azure using Kubernetes and Docker.
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems in high-pressure environments.
  • Communication: Excellent technical writing and public speaking skills to present research findings to diverse audiences.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps Cloud Computing Kubernetes Data Engineering CUDA

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