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Lead AI Architect: The 2026 Initiative

Quantum Leap Dynamics
Seattle
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead our groundbreaking 2026 Initiative. At Quantum Leap Dynamics, we don't just predict the future; we architect it. In this pivotal role, you will define the technical roadmap for next-generation artificial intelligence systems, ensuring we remain at the forefront of innovation.

If you are a technical leader passionate about scaling complex machine learning models and driving business value through data, we want to meet you. Join us in shaping the intelligent landscape of tomorrow.

Responsibilities

  • Define and execute the technical strategy for the 2026 AI product suite, aligning engineering goals with business objectives.
  • Design and deploy scalable, fault-tolerant machine learning infrastructure using cloud-native technologies.
  • Lead a high-performance team of data scientists and engineers, fostering a culture of innovation and continuous improvement.
  • Collaborate with cross-functional stakeholders—including product managers and C-suite executives—to translate complex technical concepts into actionable business insights.
  • Oversee the full ML lifecycle, from data ingestion and model training to deployment and MLOps monitoring.
  • Establish best practices for model governance, ethics, and security to ensure responsible AI deployment.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in software engineering and machine learning, with at least 5 years in a leadership or architect role.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, AWS SageMaker).
  • Proven track record of designing and launching production-grade AI systems at scale.
  • Strong understanding of NLP, Computer Vision, or Generative AI architectures.
  • Excellent communication skills with the ability to influence technical and non-technical audiences.

Required Skills

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

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