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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Strategy Lead

FutureVision Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join FutureVision Labs at the forefront of 2026's AI revolution! We're seeking a visionary AI Strategy Lead to architect next-generation solutions for Fortune 500 clients. This hybrid role combines deep technical expertise with strategic foresight, requiring you to develop roadmaps for quantum-resistant AI frameworks, ethical AI deployment protocols, and autonomous system integrations. Collaborate with cross-functional teams to transform theoretical AI capabilities into scalable business applications while maintaining compliance with evolving regulatory landscapes. Ideal candidates thrive in fast-paced environments where innovation meets execution.

Responsibilities

  • Design and implement 2026-forward AI strategy roadmaps for enterprise clients
  • Lead cross-functional teams in developing quantum-resistant AI architectures
  • Establish ethical AI governance frameworks and compliance protocols
  • Drive innovation in autonomous system integration and human-AI collaboration
  • Translate complex technical concepts into actionable business strategies
  • Monitor emerging AI trends and regulatory developments for strategic pivots
  • Present to C-suite stakeholders on AI transformation opportunities

Qualifications

  • 10+ years in AI/ML strategy with 5+ years in leadership roles
  • Expertise in quantum computing principles and post-quantum cryptography
  • Proven track record scaling AI solutions in regulated industries
  • Strong background in ethical AI frameworks and bias mitigation
  • Experience with autonomous system development and deployment
  • Advanced degree in Computer Science, AI, or related field
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML)
  • Fluency in Python, TensorFlow, and distributed computing frameworks

Required Skills

AI Strategy Quantum Computing Ethical AI Autonomous Systems Machine Learning Leadership Regulatory Compliance Enterprise Architecture

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