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Lead AI Architect (2026 Roadmap Specialist)

Quantum Horizon Systems
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to define the future of technology? Quantum Horizon Systems is seeking a visionary Lead AI Architect to spearhead our strategic roadmap for 2026 and beyond. We are building the next generation of generative AI and predictive analytics platforms that will redefine enterprise efficiency.

In this pivotal role, you will bridge the gap between theoretical AI research and scalable production engineering. You will work closely with C-level executives and engineering leads to architect systems that are not only cutting-edge but resilient, ethical, and future-proof.

Responsibilities

  • Define the 2026 AI Roadmap: Collaborate with product leadership to set the strategic vision for AI integration, ensuring alignment with market trends and technological advancements.
  • System Architecture: Design and oversee the development of robust, distributed machine learning systems capable of handling petabyte-scale data.
  • Research & Development: Stay at the forefront of AI innovation, evaluating emerging technologies (e.g., Quantum Computing interfaces, Neuromorphic chips) to integrate into our core stack.
  • Team Leadership: Mentor a high-performance team of data scientists and ML engineers, fostering a culture of innovation and continuous learning.
  • Cross-Functional Collaboration: Partner with engineering, security, and compliance teams to ensure AI solutions are scalable, secure, and compliant with global regulations.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field is preferred.
  • Experience: 8+ years of experience in software engineering, with at least 5 years specifically focused on Machine Learning and Deep Learning architecture.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP/Azure).
  • Strategic Mindset: Demonstrated ability to translate complex business requirements into technical roadmaps and architectural blueprints.
  • Problem Solving: Exceptional analytical skills with a track record of solving complex, unstructured problems in high-growth environments.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning System Architecture Cloud Computing (AWS/GCP) AI Strategy Leadership Natural Language Processing Computer Vision

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