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Senior AI Architect: The 2026 Vision

Apex Horizon Systems
New York
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Apex Horizon Systems is pioneering the technological landscape of 2026. We are seeking a visionary Senior AI Architect to spearhead our next-generation generative intelligence infrastructure. In this pivotal role, you will define the architectural blueprints that bridge the gap between current deep learning capabilities and the autonomous systems of tomorrow.

Join a team of elite engineers and researchers dedicated to solving the unsolvable. We offer a competitive package and the opportunity to shape the future of technology.

Responsibilities

  • Design and implement scalable AI infrastructures capable of handling petabyte-scale data processing.
  • Lead the research and development of cutting-edge Generative AI models, focusing on Large Language Models (LLMs) and multimodal systems.
  • Define the technical roadmap for AI integration across all product lines by 2026.
  • Collaborate with product managers and engineers to translate complex algorithms into production-ready software.
  • Optimize neural network performance and reduce inference latency in real-time environments.
  • Establish best practices for ethical AI and bias mitigation in model training.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 7 years of professional experience in Machine Learning, Deep Learning, or AI Architecture.
  • Extensive proficiency in Python, PyTorch, TensorFlow, and CUDA.
  • Proven track record of deploying large-scale AI systems in production environments.
  • Strong understanding of NLP, Computer Vision, and Reinforcement Learning.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Natural Language Processing (NLP) AI Architecture Cloud Computing AWS GCP Docker Kubernetes MLOps

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