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Senior AI Architect - Project 2026

Nexus Horizon Systems
New York
Estimated Salary
USD 180.000 – USD 250.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Nexus Horizon Systems is pioneering the next era of artificial intelligence with our flagship initiative, Project 2026. We are seeking a visionary Senior AI Architect to define the architectural backbone of our future-facing AI ecosystem. This is a high-impact role for a technical leader who is passionate about pushing the boundaries of what is possible in generative AI and machine learning. If you thrive in ambiguity and possess a deep understanding of scalable system design, this is your opportunity to shape the future of technology.

Responsibilities

  • Define and oversee the technical strategy for Project 2026, ensuring scalability, security, and performance.
  • Lead the architecture design for large-scale generative models and neural networks, optimizing for inference speed and accuracy.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into robust technical solutions.
  • Mentor junior developers and establish best practices for model deployment, MLOps, and data governance.
  • Stay abreast of the latest advancements in AI research to integrate cutting-edge techniques into our 2026 roadmap.
  • Conduct code reviews and architectural reviews to maintain high engineering standards.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • Minimum of 5+ years of experience designing and implementing production-grade AI systems.
  • Deep proficiency in Python, PyTorch, or TensorFlow.
  • Extensive experience with Large Language Models (LLMs), Transformers, and Natural Language Processing (NLP).
  • Strong background in cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Excellent leadership, communication, and problem-solving skills.

Required Skills

Python Machine Learning AI Architecture NLP Cloud Computing MLOps Deep Learning TensorFlow PyTorch

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