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Senior AI Architect (2026 Vision)

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

Job Description

Are you ready to shape the future of Artificial Intelligence?

Quantum Core Systems is pioneering the next generation of intelligent software. We are seeking a visionary Senior AI Architect to lead our strategic roadmap towards 2026 and beyond. You will be responsible for architecting scalable, secure, and cutting-edge AI solutions that redefine industry standards.

As a leader in our engineering division, you will collaborate with cross-functional teams to translate complex business requirements into robust technical architectures. If you are passionate about the future of AI and want to shape the landscape of technology, we want to hear from you.

Why Join Us?
We offer a competitive compensation package, comprehensive benefits, and the opportunity to work on projects that matter. Be part of a team that is not just adapting to the future, but creating it.

Responsibilities

  • Define and execute the technical vision for AI systems targeting the 2026 roadmap.
  • Lead the design and implementation of large-scale Machine Learning pipelines and data architectures.
  • Optimize neural network models for real-time inference and edge deployment scenarios.
  • Mentor junior engineers and establish best practices for AI engineering and code quality.
  • Collaborate with product managers to integrate advanced AI capabilities into consumer products.
  • Conduct rigorous code reviews and architectural assessments to ensure system reliability.
  • Stay abreast of the latest research in Deep Learning and NLP to drive innovation.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of experience in software engineering and machine learning architecture.
  • Expert proficiency in Python, PyTorch, and TensorFlow/Keras.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization.
  • Experience with MLOps tools (MLflow, Kubeflow) and model versioning strategies.
  • Excellent communication skills and a proven track record of leading technical teams.
  • Ability to thrive in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Cloud Computing AWS MLOps System Architecture

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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