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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Vision Architect - Project 2026

Quantum Leap Innovations
Seattle
Estimated Salary
USD 180.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are building the infrastructure for the year 2026. Quantum Leap Innovations is seeking a visionary Senior AI Vision Architect to spearhead our Project 2026 initiative. This is not just a job; it is an opportunity to architect the future of synthetic intelligence and human-machine symbiosis.

In this role, you will bridge the gap between theoretical quantum computing and practical deep learning applications. You will lead a world-class team in defining the architectural standards for next-generation autonomous systems. If you are obsessed with pushing the boundaries of what is possible in AI, we want to meet you.

Responsibilities

  • Define the high-level technical vision and architectural roadmap for Project 2026.
  • Lead the design and implementation of scalable neural network architectures capable of processing petabyte-scale datasets.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business goals into technical solutions.
  • Drive innovation in Generative AI models, ensuring ethical AI deployment and bias mitigation.
  • Mentor and coach junior architects and engineers, fostering a culture of technical excellence and continuous learning.
  • Evaluate emerging technologies (e.g., Neuromorphic Computing, Edge AI) and integrate them into our core stack.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture and system design.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Apache Spark, Kubernetes).
  • Proven track record of delivering large-scale AI systems from conception to production.
  • Strong understanding of machine learning lifecycle, MLOps, and model deployment strategies.
  • Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch System Architecture MLOps Distributed Systems Deep Learning Neural Networks

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