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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Strategy Architect

QuantumLeap Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join QuantumLeap Innovations as we redefine technological horizons for 2026. We seek a visionary AI Strategy Architect to spearhead next-gen AI ecosystems that will shape the future of human-computer interaction. This role demands a blend of technical mastery and strategic foresight to develop scalable AI frameworks that anticipate market demands and solve unprecedented challenges. You'll lead cross-functional teams in designing adaptive AI systems while ensuring ethical implementation and quantum-resistant architectures.

Our Austin hub offers a dynamic environment where innovation thrives alongside work-life balance. With cutting-edge labs and flexible work arrangements, you'll have the resources to transform ambitious concepts into reality. This position includes equity options and comprehensive benefits designed for top-tier talent.

Responsibilities

  • Architect quantum-resistant AI frameworks for 2026 technology landscape
  • Lead cross-functional teams in developing adaptive machine learning pipelines
  • Design ethical AI governance frameworks aligned with future regulatory landscapes
  • Drive innovation in human-AI collaboration interfaces and cognitive computing
  • Establish strategic partnerships with academic institutions and industry leaders
  • Present AI roadmaps to executive stakeholders and investors
  • Conduct foresight analysis to identify emerging AI opportunities and threats

Qualifications

  • PhD in Computer Science/AI or equivalent practical experience with 10+ years in AI development
  • Expertise in quantum computing principles and post-quantum cryptography
  • Proven track record of deploying large-scale ML systems at Fortune 500 companies
  • Deep understanding of ethical AI frameworks and regulatory compliance (EU AI Act, NIST AI RMF)
  • Strong background in federated learning and edge AI architectures
  • Experience presenting complex technical concepts to C-level executives
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
  • Certification in AI governance (e.g., Stanford HAI Certificate)

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Strategic Planning Ethical AI Federated Learning Cognitive Computing Post-Quantum Cryptography

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