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Lead AI Strategist (The 2026 Initiative)

Quantum Horizon Technologies
San Francisco
Estimated Salary
USD 200.000 – USD 280.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

The Opportunity:
We are on a mission to define the technological landscape of 2026. Quantum Horizon is looking for a visionary Lead AI Strategist to join our exclusive 'The 2026 Initiative.' In this role, you will bridge the gap between theoretical future tech and practical application, architecting the next generation of autonomous AI systems.

Why Join Us?
Work with a team of elite engineers and futurists. We are not just predicting trends; we are setting them. You will have the autonomy to experiment with bleeding-edge models, influence our R&D direction, and build scalable infrastructure that will define the industry standard for the upcoming decade.

Responsibilities

  • Architect Future-Ready AI Systems: Design and implement scalable, robust AI architectures specifically tailored for the operational needs of 2026, including Agentic AI workflows and advanced NLP processing.
  • Lead Research & Development: Spearhead internal research projects to explore emerging technologies such as Quantum-Ready Algorithms and Human-in-the-Loop reinforcement learning.
  • Strategic Roadmapping: Collaborate with C-suite executives to define the technical roadmap for 'The 2026 Initiative,' ensuring our products remain 5-10 years ahead of the market curve.
  • Optimize Model Performance: Oversee the deployment and fine-tuning of large language models (LLMs) and generative AI models to ensure zero-latency, high-accuracy performance in real-world scenarios.
  • Mentorship & Culture: Foster a culture of innovation by mentoring junior engineers and conducting technical workshops on the future of AI.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field is strongly preferred.
  • Experience: 7+ years of experience in software engineering, with at least 3 years in a senior AI or Machine Learning leadership role.
  • Technical Expertise: Deep proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS, GCP, or Azure).
  • Strategic Vision: Proven ability to translate complex technical concepts into actionable business strategies and roadmaps.
  • Problem Solving: Demonstrated history of solving unsolved problems in large-scale distributed systems.
  • Communication: Exceptional ability to communicate complex ideas to non-technical stakeholders and technical teams alike.

Required Skills

Python Machine Learning Generative AI NLP LLMs Cloud Architecture System Design AI Strategy

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