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Senior AI Architect (2026 Vision) | San Francisco, CA

Quantum Horizons
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join the Architects of the Future
We are Quantum Horizons, a premier technology firm pioneering the infrastructure for the year 2026. We are seeking a visionary Senior AI Architect to lead our next-generation machine learning initiatives. If you are passionate about shaping the future of artificial intelligence and want to define the standards for 2026, this is your opportunity to lead from the front.

In this pivotal role, you will design scalable AI ecosystems, mentor top-tier engineering talent, and bridge the gap between theoretical AI models and real-world industrial applications. You will be working in a state-of-the-art environment dedicated to innovation and excellence.

Responsibilities

  • Lead the architectural design and implementation of advanced AI systems tailored for the 2026 technological landscape.
  • Define and drive the AI roadmap, ensuring alignment with long-term business objectives and futuristic tech trends.
  • Collaborate with cross-functional teams—including data scientists, software engineers, and product managers—to deliver high-impact AI solutions.
  • Mentor junior engineers and conduct technical reviews to ensure code quality and architectural integrity.
  • Optimize existing machine learning pipelines for performance, scalability, and cost-efficiency.
  • Stay ahead of industry trends and emerging technologies to integrate cutting-edge innovations into our core platform.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of professional experience in software engineering, with at least 3 years specializing in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and major cloud platforms (AWS, GCP, or Azure).
  • Proven experience designing distributed systems and large-scale machine learning models.
  • Strong leadership skills with a track record of mentoring high-performing engineering teams.
  • Exceptional problem-solving abilities and a passion for solving complex, ambiguous problems.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch Cloud Computing System Architecture Leadership Data Science AWS GCP

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