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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Vision

Quantum Horizons
Seattle
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are not just preparing for the future; we are building it. At Quantum Horizons, our mission is to define the technological landscape of 2026 and beyond. We are seeking a visionary Senior AI Architect to spearhead the development of next-generation cognitive systems that will redefine human-machine interaction. You will be at the forefront of integrating generative AI with quantum computing principles to solve complex, unsolvable problems today. If you are driven by the challenge of the unknown and want to leave a legacy in the tech industry, this is your opportunity to lead the next evolution of intelligence.

Responsibilities

  • Architect and deploy scalable, fault-tolerant AI models designed for edge computing environments.
  • Lead the research and implementation of Generative AI protocols targeting 2026 standards.
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
  • Establish best practices for data governance, model training, and ethical AI deployment.
  • Mentor junior engineers and data scientists to foster a culture of innovation.
  • Prototype advanced neural interfaces and autonomous agent behaviors.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 8 years of experience in AI/ML engineering, with a proven track record of leading high-impact projects.
  • Expert proficiency in Python, PyTorch, TensorFlow, and Rust.
  • Deep understanding of Large Language Models (LLMs), Reinforcement Learning, and Neural Architecture Search.
  • Experience with quantum computing libraries or simulation tools (e.g., Cirq, Qiskit).
  • Strong grasp of cloud infrastructure (AWS, Azure, GCP) and containerization (Docker, Kubernetes).

Required Skills

Python Machine Learning Deep Learning AI Architecture Cloud Computing TensorFlow PyTorch Quantum Computing AWS Docker Kubernetes Leadership

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