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Senior AI Architect (2026 Vision)

Quantum Leap Systems
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Quantum Leap Systems as we define the technological landscape of 2026 and beyond. We are seeking a visionary Senior AI Architect to spearhead the development of next-generation machine learning systems that will power our global infrastructure.

In this role, you will not just write code; you will architect the future. You will work on cutting-edge projects that bridge the gap between current capabilities and the transformative potential of the 2026 horizon, ensuring our solutions remain at the forefront of innovation.

Why Join Us?

  • Work on projects that shape the future of AI.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with HQ in Austin.
  • Access to state-of-the-art hardware and cloud resources.

Responsibilities

  • Design and implement scalable, high-performance machine learning models tailored for complex data environments.
  • Lead the technical strategy for AI integration, ensuring alignment with the 2026 roadmap and long-term business objectives.
  • Optimize existing neural network architectures to enhance inference speed and reduce latency.
  • Collaborate with cross-functional teams to translate abstract future concepts into concrete, deployable technical solutions.
  • Establish and enforce best practices for data governance, model security, and MLOps pipelines.
  • Conduct research on emerging AI trends to keep the organization ahead of the curve.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 7+ years of professional experience in software engineering and machine learning.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of leading technical teams and mentoring junior engineers.
  • Deep understanding of distributed systems and high-availability architecture.

Required Skills

Python PyTorch TensorFlow AWS Kubernetes Machine Learning Deep Learning MLOps Data Science

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