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Senior AI Architect - 2026 Horizon

Apex Horizon Systems
New York
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are pioneering the technological infrastructure for the year 2026 and beyond. Apex Horizon Systems is seeking a visionary Senior AI Architect to lead our predictive modeling and generative AI division. In this role, you will define the core algorithms that will power next-generation smart cities, autonomous logistics, and predictive consumer analytics.

If you are passionate about the bleeding edge of Artificial General Intelligence (AGI) and possess the technical prowess to build systems that scale, we want to hear from you. Join a team that is not just adapting to the future, but actively engineering it.

Responsibilities

  • Design and implement advanced neural network architectures tailored for 2026 predictive forecasting models.
  • Lead a high-performance team of data scientists and ML engineers in the development of autonomous agents.
  • Optimize large-scale distributed computing systems to handle real-time data ingestion at petabyte speeds.
  • Establish ethical AI frameworks and governance protocols for autonomous decision-making systems.
  • Collaborate with quantum computing researchers to integrate quantum algorithms into classical AI workflows.
  • Mentor junior developers and conduct technical reviews to ensure architectural integrity.
  • Stay at the forefront of industry trends, specifically in Generative Adversarial Networks (GANs) and Transformer models.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
  • Minimum of 7 years of experience in designing, deploying, and maintaining machine learning production environments.
  • Extensive expertise in Python, PyTorch, TensorFlow, and C++.
  • Strong background in Natural Language Processing (NLP) and Computer Vision.
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Kubernetes, Docker).
  • Proven track record of leading cross-functional teams in high-stakes engineering projects.
  • Demonstrated ability to translate complex business requirements into robust technical solutions.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Natural Language Processing Cloud Architecture Kubernetes Docker AWS GCP

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