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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Strategy Architect

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 220.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer the 2026 AI Horizon. We seek a visionary AI Strategy Architect to design the next generation of intelligent systems that will redefine industries. This role demands a blend of technical expertise and strategic foresight to navigate the complex landscape of emerging technologies. You'll lead cross-functional teams in developing AI frameworks that prioritize ethical innovation, scalability, and human-centric design. Our collaborative environment fosters breakthrough thinking, offering unparalleled opportunities to shape the future of artificial intelligence.

Responsibilities

  • Architect AI roadmaps aligned with 2026 technological milestones and regulatory frameworks
  • Lead development of ethical AI governance protocols for autonomous systems
  • Collaborate with quantum computing teams to hybridize classical and quantum AI models
  • Design scalable ML pipelines for real-time decision-making in dynamic environments
  • Conduct horizon scanning for emerging AI trends and competitive threats
  • Present strategic visions to C-suite executives and industry stakeholders
  • Mentor cross-functional teams in AI implementation best practices

Qualifications

  • 10+ years in AI/ML with 5+ years in strategic architecture roles
  • PhD in Computer Science, AI Ethics, or related field preferred
  • Proven expertise in federated learning and differential privacy frameworks
  • Deep understanding of EU AI Act and evolving global AI regulations
  • Published research in AI safety or explainable AI (XAI) methodologies
  • Experience with quantum machine learning algorithms
  • Certification in AI governance (e.g., AIGC, CIPM)
  • Portfolio demonstrating complex AI system implementations

Required Skills

AI Strategy Machine Learning Architecture Quantum Computing Ethical AI Regulatory Compliance Federated Learning Explainable AI AI Governance

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