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Information Technology 🏒 Full Time ⭐️ Verified

2026 AI Strategy Lead

Quantum Horizon Corp
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to architect the future of intelligence? Quantum Horizon Corp is seeking a visionary 2026 AI Strategy Lead to spearhead our next-generation artificial intelligence initiatives. As we look toward the technological landscape of 2026, you will define the core architecture, ethical guidelines, and strategic direction of our autonomous systems.

In this pivotal role, you will bridge the gap between theoretical research and production-ready applications, ensuring our AI solutions remain at the forefront of innovation.

Responsibilities

  • Define the 2026 AI Roadmap: Create and communicate a long-term vision for AI integration, focusing on AGI readiness and ethical AI frameworks.
  • Architect Scalable Systems: Design robust, fault-tolerant AI infrastructure capable of handling petabyte-scale data streams.
  • Lead R&D Initiatives: Spearhead research into next-generation neural architectures and generative models.
  • Cross-Functional Collaboration: Partner with engineering, product, and legal teams to align technical capabilities with business goals.
  • Performance Optimization: Oversee the optimization of model inference times and resource allocation for global deployment.

Qualifications

  • Experience: 10+ years in software engineering with at least 5 years in specialized AI/ML architecture roles.
  • Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Spark).
  • Strategic Vision: Demonstrated ability to forecast industry trends and translate them into actionable technical roadmaps.
  • Communication: Exceptional ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AI Architecture Cloud Computing Kubernetes MLOps Strategy

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