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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: 2026 Vision

Quantum Leap Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are at the forefront of the next technological revolution. As we gear up for the innovation cycle of 2026, we are seeking a visionary Senior AI Architect to lead our research and development division. You will be instrumental in designing scalable, future-proof systems that leverage next-generation artificial intelligence.

In this role, you will bridge the gap between theoretical AI capabilities and practical, high-performance engineering solutions. You will work alongside a world-class team of data scientists and engineers to define the roadmap for our 2026 product suite.

Why Join Us?

  • Work on cutting-edge AI projects with global impact.
  • Competitive compensation package and equity options.
  • Flexible remote-first policy with a hub in San Francisco.
  • Opportunity to shape the technology stack of tomorrow.

Responsibilities

  • • Lead the architectural design of next-gen AI infrastructure and machine learning pipelines.
  • • Define the technical strategy for AI integration across all 2026 product roadmaps.
  • • Mentor junior engineers and data scientists, fostering a culture of innovation.
  • • Collaborate with product managers to translate complex AI concepts into user-friendly features.
  • • Ensure system scalability, security, and efficiency in high-load environments.
  • • Stay ahead of industry trends to advise the leadership team on emerging technologies.

Qualifications

  • • Bachelor’s or Master’s degree in Computer Science, AI, or a related technical field.
  • • 7+ years of experience in software engineering, with a focus on AI/ML systems.
  • • Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
  • • Proven experience designing cloud-native solutions (AWS, GCP, or Azure).
  • • Strong understanding of Generative AI models and Large Language Models (LLMs).
  • • Exceptional problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch AWS GCP Azure Machine Learning Deep Learning Generative AI NLP System Architecture Kubernetes Docker

Ready to Take This Challenge?

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