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Information Technology 🏢 Full Time ⭐️ Verified

Future-Ready AI Lead | Architecting the 2026 Vision

Quantum Horizon Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Future-Ready AI Lead to architect the next generation of intelligent systems and define our strategic roadmap through 2026. In this high-impact role, you will bridge the gap between complex machine learning engineering and high-level business strategy.

As we prepare for the technological shifts of 2026, you will lead the charge in deploying scalable AI architectures that drive efficiency and innovation. You will work with a world-class team to build solutions that are not only state-of-the-art today but resilient and adaptable for the future.

Responsibilities

  • Strategic Vision: Define and execute the long-term AI and Machine Learning strategy, ensuring alignment with our 2026 goals.
  • Architecture & Development: Lead the design and implementation of scalable AI models, neural networks, and deep learning systems.
  • Team Leadership: Mentor and cultivate a high-performing team of data scientists and software engineers.
  • Innovation: Research emerging technologies and trends to integrate cutting-edge solutions into our product ecosystem.
  • Deployment: Oversee the end-to-end lifecycle of AI models, from prototype to production deployment.
  • Stakeholder Management: Collaborate with product and executive teams to translate business requirements into technical roadmaps.

Qualifications

  • Experience: 10+ years in software engineering, with at least 5 years in a senior AI/ML leadership role.
  • Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and Scikit-learn.
  • Cloud Proficiency: Strong experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Leadership: Proven track record of managing cross-functional teams and delivering complex projects on time.
  • Education: Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s degree preferred.
  • Adaptability: A forward-thinking mindset with the ability to navigate ambiguity in a rapidly evolving tech landscape.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch Cloud Architecture Kubernetes Leadership Strategic Planning

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