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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Architect - Future Tech | Seattle, WA

Quantum Leap Dynamics
Seattle
Estimated Salary
USD 160.000 – USD 230.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to architect the technology landscape of 2026 and beyond? Quantum Leap Dynamics is seeking a visionary Senior AI/ML Architect to lead our next-generation research initiatives. In this pivotal role, you will design scalable neural networks and deploy state-of-the-art machine learning systems that define the future of our industry.

We are looking for a builder, a leader, and a technical expert who is passionate about the convergence of AI and practical application. You will work in a high-performance environment focused on innovation, scalability, and real-world impact.

Responsibilities

  • Architect Advanced Systems: Design and implement scalable machine learning pipelines and deep learning models for high-traffic production environments.
  • Drive Innovation: Stay at the forefront of AI trends, researching and integrating next-generation techniques to solve complex, ambiguous business problems.
  • Optimize Performance: Continuously improve model accuracy, inference latency, and resource efficiency to drive optimal user experiences.
  • Cross-Functional Leadership: Partner with engineering, product, and design teams to translate high-level requirements into robust technical architectures.
  • Talent Development: Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field; Bachelor’s degree with extensive industry experience considered.
  • Experience: 5+ years of professional experience in Machine Learning, AI, or Data Science, with at least 2 years in a lead or architect role.
  • Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, or JAX; strong understanding of MLOps and model deployment.
  • Cloud & Infrastructure: Proven experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Problem Solving: Strong ability to troubleshoot complex technical challenges and deliver results in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AWS GCP Docker Kubernetes MLOps AI Architecture

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