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Senior AI Architect (2026 Roadmap)

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Apex Horizon Systems, a pioneer in next-generation intelligence, as we architect the 2026 AI Revolution. We are seeking a visionary Senior AI Architect to lead the development of our flagship generative intelligence platform, designed to redefine human-machine interaction by the year 2026.


In this role, you won't just build models; you will define the infrastructure for the future. You will work at the intersection of deep learning, large language models (LLMs), and real-time neural processing. If you are driven by the challenge of deploying enterprise-grade AI at scale and have a passion for the '2026 Vision' roadmap, we want to hear from you.


Why Join Us?

  • Lead the technical strategy for our 2026 product launch.
  • Work with state-of-the-art technology in a collaborative, high-performance environment.
  • Competitive equity package and comprehensive benefits.

Responsibilities

  • Architect and deploy scalable, high-performance AI models tailored for the 2026 market landscape.
  • Lead the end-to-end machine learning lifecycle, from data ingestion to model deployment and monitoring.
  • Collaborate with cross-functional teams (product, engineering, and design) to translate business requirements into technical AI solutions.
  • Optimize neural networks for speed, accuracy, and energy efficiency on cloud-native infrastructure.
  • Stay ahead of the curve on emerging AI trends, ensuring our roadmap remains competitive through 2026 and beyond.

Qualifications

  • Master's degree in Computer Science, Mathematics, or a related field; PhD preferred.
  • 7+ years of experience in Machine Learning, Deep Learning, or AI Architecture.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Proven experience designing and fine-tuning Large Language Models (LLMs) and Generative AI.
  • Strong understanding of MLOps, CI/CD pipelines, and cloud platforms (AWS/GCP/Azure).
  • Demonstrated ability to lead technical teams and mentor junior engineers.

Required Skills

Python PyTorch TensorFlow LLMs MLOps AWS Kubernetes Data Science Neural Networks Generative AI System Architecture

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