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Senior AI Architect (2026 Roadmap Specialist)

Quantum Horizon
Seattle
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to shape the future of technology? Quantum Horizon is seeking a visionary Senior AI Architect to spearhead our 2026 roadmap. In this pivotal role, you will not just write code; you will architect the neural networks and intelligent systems that define the next generation of human-machine interaction.

We are building the foundation for the future of AI, and we need a leader who thrives on complexity and innovation. If you are passionate about pushing the boundaries of generative models and scalable machine learning, this is your opportunity to make a tangible impact on the industry.

Why join Quantum Horizon?

  • Work on cutting-edge generative AI and Large Language Models (LLMs).
  • Competitive compensation package with performance bonuses.
  • Flexible remote-first culture with a focus on work-life balance.

Responsibilities

  • Design and deploy scalable machine learning infrastructure for high-volume production environments.
  • Lead the architectural design of deep learning models, specializing in NLP and Computer Vision.
  • Collaborate with cross-functional product teams to translate business requirements into robust technical AI solutions.
  • Optimize algorithms and model weights for high-throughput, low-latency performance.
  • Establish and enforce best practices for MLOps, data governance, and model monitoring.
  • Mentor junior engineers and foster a culture of continuous learning and technical excellence.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering, with at least 2 years in a lead or architect role.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong understanding of distributed systems, cloud computing (AWS/GCP), and containerization (Kubernetes/Docker).
  • Experience implementing and fine-tuning transformer architectures and LLMs.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps AWS Kubernetes Generative AI Transformer Models

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