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Senior AI Architect (2026 Vision)

Horizon Synergy Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to define the technological landscape of 2026? Horizon Synergy Systems is seeking a visionary Senior AI Architect to lead our next-generation neural network infrastructure. In this pivotal role, you will bridge the gap between theoretical AI research and scalable production systems, ensuring our platforms remain at the cutting edge of innovation.

We are not just building software; we are architecting the future. You will have the autonomy to design systems that integrate quantum-ready architectures with deep learning models, setting the standard for enterprise AI in the coming decade.

Responsibilities

  • Design and implement scalable, high-performance AI architectures aligned with 2026 technological standards.
  • Lead the end-to-end development of machine learning models and neural networks for complex enterprise solutions.
  • Mentor and guide a team of junior data scientists and software engineers, fostering a culture of innovation.
  • Collaborate with cross-functional teams to translate business requirements into technical AI roadmaps.
  • Optimize existing algorithms for speed, accuracy, and energy efficiency.
  • Stay ahead of emerging trends in Generative AI, Edge Computing, and Quantum AI.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • 10+ years of professional experience in software engineering and machine learning.
  • Deep expertise in Python, TensorFlow, PyTorch, and cloud-native architectures (AWS/GCP).
  • Proven track record of deploying large-scale AI models into production environments.
  • Strong leadership skills with experience managing technical teams.
  • Excellent communication skills to articulate complex technical concepts to stakeholders.

Required Skills

Python TensorFlow PyTorch AWS GCP Kubernetes System Design Machine Learning Neural Networks Leadership

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