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Information Technology 🏢 Full Time ⭐️ Verified

AI Strategy Architect 2026

FutureVision Labs
Austin
Estimated Salary
USD 160.000 – USD 220.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Shape tomorrow's digital landscape as our AI Strategy Architect 2026. Join FutureVision Labs to architect next-generation AI ecosystems that will redefine industries by 2026. This role blends technical foresight with strategic innovation to build scalable AI solutions for Fortune 500 clients.

We're seeking a visionary leader who thrives at the intersection of machine learning, business strategy, and emerging technologies. You'll lead cross-functional teams to develop AI roadmaps that align with 2026 technological forecasts while ensuring ethical implementation and quantum-readiness.

Responsibilities

  • Design AI infrastructure blueprints supporting 2026 quantum computing integration
  • Lead end-to-end AI solution development for autonomous systems and predictive analytics
  • Establish governance frameworks for ethical AI deployment across global enterprises
  • Conduct horizon scanning for 2026 AI regulatory and compliance requirements
  • Mentor teams on next-gen neural networks and federated learning architectures
  • Drive partnerships with quantum computing and neuromorphic hardware providers

Qualifications

  • 10+ years in AI/ML with 5+ years in strategic architecture roles
  • PhD in Computer Science or equivalent in AI ethics/quantum computing
  • Published research in Nature/Science on 2026 AI trends
  • Expertise in federated learning and explainable AI (XAI) frameworks
  • Certification in quantum machine learning (QML) and neuromorphic systems
  • Proven track record scaling AI solutions to 10M+ user environments
  • Deep knowledge of 2026 AI regulatory landscapes (EU AI Act, US AI Bill of Rights)

Required Skills

AI Strategy Quantum Machine Learning Neural Architecture Search Federated Learning Explainable AI Quantum Computing Neuromorphic Systems AI Ethics Predictive Analytics Autonomous Systems

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