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Senior AI Architect (2026 Vision)

Horizon AI Solutions
San Francisco
Estimated Salary
USD 165.000 – USD 220.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Are you ready to build the technology that will define the year 2026? Horizon AI Solutions is seeking a visionary Senior AI Architect to lead our research and development division. We are not just building AI; we are architecting the future of autonomous systems, General Purpose AI, and ethical machine learning frameworks.

In this role, you will bridge the gap between theoretical AI research and production-grade engineering. You will be responsible for designing neural architectures that can scale to the next decade, integrating cutting-edge Large Language Models (LLMs), and ensuring our systems are resilient, explainable, and secure.

Why Join Us?

  • Work on high-impact projects that will shape the future of human-computer interaction.
  • Access to state-of-the-art computing infrastructure and proprietary datasets.
  • Competitive compensation package and equity opportunities.

Responsibilities

  • Design and implement scalable AI/ML architectures for next-generation autonomous agents.
  • Lead the research and deployment of Large Language Models (LLMs) and multimodal AI systems.
  • Optimize deep learning models for low-latency, high-throughput production environments.
  • Establish best practices for model governance, bias mitigation, and ethical AI usage.
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
  • Stay ahead of the curve on emerging AI trends, such as neuromorphic computing and federated learning.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 5+ years of professional experience in machine learning engineering or research.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of Deep Learning, Natural Language Processing (NLP), and Computer Vision.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Demonstrated ability to lead technical teams and mentor junior engineers.

Required Skills

Python PyTorch TensorFlow NLP Computer Vision Machine Learning Deep Learning AWS GCP Docker Kubernetes Agile System Design

Ready to Take This Challenge?

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