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Senior AI Architect (2026 Horizon)

Nexus Horizons Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
6 Juni 2026
Deadline
6 Jun 2027

Job Description

Be the Architect of Tomorrow.

Nexus Horizons Inc. is pioneering the technological landscape of 2026. We are seeking a visionary Senior AI Architect to lead the design and implementation of our next-generation artificial intelligence systems. In this pivotal role, you will define the architectural blueprints for AI that will define the future of enterprise automation, predictive analytics, and human-computer interaction.

You will work at the intersection of Generative AI, Quantum Computing, and Neural Networks, bridging the gap between theoretical research and scalable production systems. If you are driven by the challenge of solving complex problems and want to be part of the team that sets the standard for 2026, we want to hear from you.

Responsibilities

  • Design and oversee the implementation of high-performance AI infrastructure and scalable neural network architectures.
  • Lead the strategic roadmap for AI capabilities, ensuring alignment with the company's 2026 vision.
  • Collaborate with cross-functional teams to integrate AI models into existing software ecosystems.
  • Research and prototype cutting-edge technologies, including Large Language Models (LLMs) and autonomous agents.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Ensure ethical AI practices and data privacy compliance in all system designs.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • 10+ years of professional experience in software engineering and AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern cloud platforms (AWS/GCP/Azure).
  • Proven track record of delivering complex AI systems in production environments.
  • Experience with distributed systems, microservices, and high-availability architectures.
  • Strong understanding of ethical AI principles and bias mitigation in machine learning models.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Cloud Computing AWS System Design Neural Networks Agile Leadership

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