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Information Technology 🏒 Full Time ⭐️ Verified

Strategic AI Lead - 2026 Horizon Initiative

QuantumCore Systems
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
11 Juli 2026
Deadline
11 Jul 2027

Job Description

At QuantumCore Systems, we are not just building software; we are architecting the future. We are launching the **2026 Horizon Initiative**, a strategic push to redefine human-computer interaction through advanced autonomous agents and next-generation neural interfaces. We are seeking a visionary **Strategic AI Lead** to guide this transformation and establish our leadership in the AI landscape of 2026. In this role, you will bridge the gap between cutting-edge research and scalable production systems. You will be responsible for setting the technical vision for our upcoming flagship product line, ensuring our AI models are not only powerful but also ethical, safe, and efficient. If you are passionate about the trajectory of artificial intelligence and want to define the standard for the year 2026, we want to hear from you.

Responsibilities

  • Define and execute the technical roadmap for the 2026 Horizon Initiative, focusing on generative AI and autonomous agents.
  • Lead a world-class team of ML engineers and data scientists, fostering a culture of innovation and excellence.
  • Architect scalable, high-performance AI infrastructure capable of handling petabyte-scale data streams.
  • Establish best practices for AI safety, bias mitigation, and ethical deployment of autonomous systems.
  • Collaborate with C-suite executives and product managers to translate complex AI capabilities into market-defining features.
  • Stay ahead of industry trends, evaluating emerging technologies to maintain a competitive edge.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 7+ years of experience in machine learning, with at least 3 years in a senior leadership or architectural role.
  • Deep expertise in deep learning frameworks (PyTorch, TensorFlow) and large language model (LLM) architectures.
  • Proven experience managing cross-functional teams and driving technical strategy in high-growth environments.
  • Strong background in cloud computing (AWS, GCP, or Azure) and MLOps pipelines.
  • Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Generative AI Deep Learning LLMs PyTorch TensorFlow Leadership MLOps Cloud Architecture Python Neural Networks

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