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Senior AI Architect - 2026 Vision

Quantum Leap Technologies
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to lead the development of next-generation systems designed for the year 2026 and beyond. At Quantum Leap Technologies, we are building the infrastructure of tomorrow, today. You will be responsible for designing scalable, secure, and high-performance machine learning architectures that drive our strategic roadmap.

In this role, you will bridge the gap between theoretical AI research and practical, scalable engineering solutions. You will work closely with our product and research teams to define the AI strategy that will define our competitive edge in the global market.

Why Join Us?

  • Work on cutting-edge projects that shape the future of technology.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with a hub in Austin, TX.

Responsibilities

  • Design and implement scalable AI/ML infrastructure tailored for 2026 deployment requirements.
  • Lead the architecture of large-scale neural networks and deep learning models.
  • Collaborate with cross-functional teams to integrate AI capabilities into core products.
  • Establish best practices for data governance, model deployment, and MLOps.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Conduct technical feasibility studies to drive strategic product decisions.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • Minimum of 7 years of experience in software engineering, with 4+ years specifically in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, or Azure).
  • Proven track record of deploying production-grade machine learning models at scale.
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Excellent communication skills and the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning MLOps AWS GCP Azure NLP Computer Vision System Design

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