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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: 2026 Readiness

Quantum Horizon
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
New
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Are you ready to architect the future of 2026?

Quantum Horizon is pioneering the next generation of autonomous agents and generative AI systems. We are looking for a visionary Senior AI Architect to design the scalable, fault-tolerant infrastructure that will define the technological landscape in 2026 and beyond. If you thrive on solving complex challenges at the intersection of AI, system design, and scalability, this is your opportunity to lead the charge.

Why Join Us?

  • Work on cutting-edge AI models that are shaping the roadmap for 2026.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with a hub in the heart of the Bay Area.
  • Access to the latest hardware for AI research and deployment.

Responsibilities

  • Lead the architectural design of our proprietary AI infrastructure, ensuring it is ready for the demands of 2026 and beyond.
  • Develop and implement scalable machine learning pipelines using Python, TensorFlow, and PyTorch.
  • Optimize model inference latency and reduce cloud costs through advanced containerization and deployment strategies.
  • Collaborate with cross-functional teams of data scientists and engineers to integrate AI capabilities into core products.
  • Establish best practices for MLOps, including model versioning, monitoring, and automated retraining workflows.
  • Stay ahead of emerging AI trends to inform the company's strategic vision for the 2026 roadmap.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • 7+ years of professional experience in software engineering or machine learning engineering.
  • Deep expertise in designing distributed systems and large-scale data architectures.
  • Proficiency in Python, SQL, and modern cloud platforms (AWS, GCP, or Azure).
  • Strong experience with deep learning frameworks and experience deploying models to production.
  • Demonstrated ability to lead technical teams and drive project execution from concept to deployment.

Required Skills

Python TensorFlow PyTorch Machine Learning MLOps Cloud Computing (AWS/GCP) System Design AI Architecture Docker Kubernetes

Ready to Take This Challenge?

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