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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Architect - 2026 Readiness

Quantum Leap Dynamics
San Francisco
Estimated Salary
USD 195.000 – USD 250.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Architect the Future of Intelligence

Are you ready to lead the technological frontier? Quantum Leap Dynamics is seeking a visionary Senior AI/ML Architect to spearhead our 2026 Readiness roadmap. We are building the foundational systems that will power the next generation of autonomous agents and generative intelligence. If you thrive in high-stakes environments and are passionate about shaping the trajectory of AI, we want to meet you.

Why Join Us?

  • Work at the intersection of cutting-edge research and scalable production engineering.
  • Competitive compensation package including equity and performance bonuses.
  • Flexible remote-first policy with access to state-of-the-art office amenities.
  • Opportunity to define the technical standards for the 2026 landscape.

Responsibilities

  • Lead the architectural design of scalable ML infrastructure tailored for the 2026 era, focusing on LLMs and generative models.
  • Drive the implementation of MLOps pipelines to ensure seamless deployment and monitoring of large-scale AI models.
  • Collaborate with cross-functional teams to translate business requirements into technical AI roadmaps.
  • Research and prototype novel algorithms to enhance model accuracy and reduce inference latency.
  • Establish best practices for data governance, security, and ethical AI usage.
  • mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.

Qualifications

  • Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s or PhD preferred.
  • 7+ years of professional experience in Machine Learning, Deep Learning, or Artificial Intelligence.
  • Proficiency in Python, PyTorch, TensorFlow, or similar frameworks.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Proven track record of deploying end-to-end AI solutions in production environments.
  • Excellent problem-solving skills and ability to work independently in a fast-paced startup environment.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow MLOps Docker Kubernetes AWS Cloud Architecture

Ready to Take This Challenge?

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