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Information Technology 🏢 Full Time ⭐️ Verified

AI Strategist - 2026 Vision

Nexus Horizons Inc.
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join Nexus Horizons Inc. at the forefront of 2026's technological revolution. We're seeking an AI Strategist to architect the next wave of intelligent systems that will redefine industries. This role demands visionary thinking and hands-on expertise in emerging AI paradigms. You'll collaborate with Fortune 500 partners to implement future-proof solutions while mentoring our next-gen innovators.

Our Austin hub offers unparalleled resources for R&D, including quantum computing access and cross-disciplinary collaboration spaces. We provide competitive benefits, flexible work arrangements, and a culture that champions intellectual curiosity.

Responsibilities

  • Design and implement AI roadmaps aligned with 2026 technological forecasts
  • Lead cross-functional teams in developing generative AI solutions for enterprise clients
  • Conduct frontier research in neural-symbolic integration and explainable AI
  • Present strategic insights to C-suite executives and industry consortiums
  • Drive ethical AI frameworks and responsible innovation practices
  • Mentor junior data scientists and AI engineers
  • Author whitepapers on emerging AI trends and market impact

Qualifications

  • PhD in Computer Science, AI, or related field (MS with 5+ years experience)
  • Proven expertise in transformer architectures, reinforcement learning, and multi-agent systems
  • Published research at NeurIPS/ICML/AAAI or equivalent industry breakthroughs
  • Experience scaling AI solutions to 10M+ user environments
  • Deep understanding of quantum AI hybridization principles
  • Portfolio demonstrating 3+ enterprise-level AI deployments
  • Strong background in MLOps and cloud-native AI infrastructure
  • Certified in responsible AI frameworks (e.g., Google, IBM)

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Generative AI Neural Networks Quantum Computing Ethics MLOps Research

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