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Senior AI Architect: 2026 Vision

QuantumCore Systems
Seattle
Estimated Salary
USD 190.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to define the technological roadmap for our company's future. As we look towards the 2026 horizon, we need a leader who can bridge the gap between theoretical AI research and scalable, real-world applications. You will be responsible for designing next-generation machine learning systems that will power our core products for years to come.

In this role, you will work closely with C-level executives and engineering teams to ensure our AI infrastructure is robust, secure, and future-proof. If you are passionate about the intersection of data science, software engineering, and strategic planning, we want to hear from you.

Why Join Us?

  • Impactful Work: Build AI systems that solve complex global challenges.
  • Future-Ready: Shape the architecture that defines our 2026 and beyond strategy.
  • Competitive Package: Top-tier salary and equity packages.

Responsibilities

  • Design and oversee the implementation of scalable Machine Learning and Deep Learning architectures.
  • Lead the technical strategy for integrating Generative AI models into production workflows.
  • Collaborate with cross-functional teams to define product requirements and technical specifications.
  • Ensure data privacy, security, and ethical AI practices across all projects.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Stay ahead of industry trends to recommend new technologies for the 2026 roadmap.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML Architecture.
  • Strong proficiency in Python, TensorFlow, or PyTorch.
  • Experience designing and deploying Large Language Models (LLMs) at scale.
  • Deep understanding of cloud platforms (AWS, GCP, or Azure).
  • Excellent communication skills with the ability to translate technical concepts to non-technical stakeholders.
  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning LLMs AWS GCP Kubernetes Cloud Architecture

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