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Senior AI Architect (2026 Vision)

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are on the cusp of a technological revolution. Nexus Horizon Solutions is seeking a visionary Senior AI Architect to define the infrastructure for the next generation of artificial intelligence. If you are passionate about building scalable, ethical, and groundbreaking systems for the year 2026 and beyond, we want to hear from you.

As a key member of our elite engineering team, you will bridge the gap between theoretical AI research and production-ready software. You will lead initiatives in Generative AI, Large Language Models (LLMs), and autonomous decision-making systems.

Responsibilities

  • Architect and deploy scalable machine learning pipelines designed for high-volume data processing.
  • Lead the technical strategy for integrating next-gen AI models into core products.
  • Optimize model performance and reduce inference latency in real-time environments.
  • Collaborate with cross-functional teams including Data Scientists, Product Managers, and UX Designers.
  • Mentor junior engineers and foster a culture of innovation and technical excellence.
  • Ensure ethical AI practices, data privacy, and compliance with industry regulations.

Qualifications

  • Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • 7+ years of professional experience in software engineering and machine learning.
  • Deep expertise in Python, C++, and modern ML frameworks (PyTorch, TensorFlow, JAX).
  • Proven track record of designing distributed systems and cloud-native architectures (AWS, GCP, Azure).
  • Strong understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Experience with MLOps and model deployment tools (Kubernetes, Docker, MLflow).

Required Skills

Python TensorFlow PyTorch NLP Distributed Systems Cloud Computing AI Architecture Machine Learning Deep Learning Leadership

Ready to Take This Challenge?

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