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Senior AI Architect - Future Tech 2026

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are looking for a visionary Senior AI Architect to lead the technological frontier for Nexus Horizon Solutions. In this pivotal role, you will define the architecture for next-generation artificial intelligence systems, ensuring scalability, efficiency, and ethical alignment for our clients and internal operations. If you are passionate about shaping the AI landscape of 2026 and beyond, we want to hear from you.

Why Join Us?

  • Work at the cutting edge of Generative AI and Large Language Models.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with hubs in San Francisco.
  • Access to state-of-the-art hardware and research datasets.

Responsibilities

  • Architect and design scalable, high-performance AI infrastructure capable of handling enterprise-grade workloads.
  • Lead the research and implementation of Generative AI models, including fine-tuning and deployment strategies.
  • Define the technical roadmap for AI capabilities, anticipating trends in the 2026 technological landscape.
  • Collaborate with cross-functional teams to integrate AI solutions into existing software ecosystems.
  • Establish and enforce best practices for data privacy, algorithmic bias, and ethical AI usage.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • 10+ years of experience in software engineering, with at least 5 years specifically focused on AI/ML architecture.
  • Deep proficiency in Python, TensorFlow, PyTorch, and Hugging Face libraries.
  • Extensive experience designing MLOps pipelines and cloud-based AI infrastructure (AWS, GCP, or Azure).
  • Strong understanding of Natural Language Processing (NLP) and Computer Vision applications.
  • Proven track record of leading technical teams and delivering complex AI projects on time.

Required Skills

AI Machine Learning Python NLP TensorFlow PyTorch MLOps Cloud Architecture Leadership Generative AI

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