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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Future Tech Strategist (2026 Vision)

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

We are looking for a visionary Senior AI & Future Tech Strategist to drive our roadmap toward the year 2026. In this pivotal role, you will define the technological landscape of tomorrow, ensuring our AI architectures are scalable, ethical, and ready for the next generation of digital interaction.

At Nexus Horizon, we don't just predict trends; we engineer them. As we accelerate toward our 2026 objectives, we need a leader who can bridge the gap between theoretical AI potential and tangible, market-leading solutions. If you are passionate about the future of technology and want to shape the industry standards for 2026 and beyond, this is your opportunity.

Responsibilities

  • Lead the strategic vision for AI integration, specifically targeting the technological milestones of 2026.
  • Architect scalable machine learning systems capable of handling next-gen data loads and real-time processing.
  • Collaborate with cross-functional teams to identify opportunities for intelligent automation and predictive analytics.
  • Define and enforce best practices for ethical AI, data governance, and algorithmic transparency.
  • Conduct deep-dive market research to anticipate shifts in the AI landscape and competitive advantages.
  • Oversee the transition of legacy systems to modern, AI-driven infrastructure.
  • Mentor junior engineers and data scientists on strategic thinking and architectural design.

Qualifications

  • 10+ years of experience in software engineering, machine learning, or strategic technology roles.
  • Proven track record of leading large-scale technical projects with a focus on future scalability and longevity.
  • Expertise in Python, TensorFlow, or PyTorch, with a deep understanding of neural networks and deep learning.
  • Strong background in cloud infrastructure (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
  • Demonstrated ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.
  • Experience with Generative AI models and large language models (LLMs) is highly preferred.
  • Strong problem-solving skills with a focus on innovation and efficiency.

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Python Cloud Architecture Deep Learning Ethics in AI System Design Leadership

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