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Senior AI Architect - 2026 Vision

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Welcome to the future of technology. Apex Horizon Systems is seeking a visionary Senior AI Architect to lead our roadmap for 2026 and beyond. In this pivotal role, you will be at the forefront of designing scalable, secure, and innovative artificial intelligence solutions that define the next era of enterprise.

We are not just building for today; we are architecting for the future. You will be responsible for integrating cutting-edge generative models, establishing robust MLOps pipelines, and ensuring our AI strategies align with the dynamic technological landscape of 2026.

Join a team of elite engineers and data scientists who are passionate about pushing the boundaries of what is possible. We offer a competitive salary, comprehensive equity packages, and a culture that rewards innovation and technical excellence.

Responsibilities

  • Architect and implement scalable AI infrastructure designed to meet the demands of the 2026 technology landscape.
  • Lead the research and development of proprietary Large Language Models (LLMs) and generative AI tools.
  • Collaborate with product and engineering teams to translate high-level business goals into concrete AI technical roadmaps.
  • Establish best practices for AI ethics, data governance, and model explainability to ensure responsible innovation.
  • Mentor junior engineers and data scientists, fostering a culture of technical depth and continuous learning.
  • Conduct technical due diligence on emerging technologies and evaluate their potential impact on our product suite.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 8+ years of professional experience in software engineering with a strong focus on AI/ML and deep learning.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern MLOps tools (Kubeflow, MLflow).
  • Proven track record of deploying large-scale, high-performance machine learning models in production environments.
  • Strong understanding of neural network architectures, natural language processing, and computer vision.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning MLOps NLP TensorFlow PyTorch Cloud Architecture AWS Azure

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