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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Strategy Lead

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we shape the future of AI-driven solutions. We seek a visionary 2026 AI Strategy Lead to architect transformative frameworks that will redefine industry standards. This pivotal role requires a blend of technical acumen and strategic foresight to navigate the rapidly evolving AI landscape. You'll lead cross-functional teams in developing cutting-edge systems while ensuring ethical implementation and measurable impact. Our culture rewards innovation, embraces remote collaboration, and offers unparalleled growth opportunities in one of the world's most dynamic tech ecosystems.

Responsibilities

  • Architect and implement 2026-era AI strategy frameworks aligned with long-term business objectives
  • Lead cross-functional teams in developing generative AI and predictive analytics solutions
  • Establish ethical AI governance protocols and compliance standards for emerging technologies
  • Drive innovation through rapid prototyping and iterative development cycles
  • Analyze industry trends to identify disruptive opportunities in quantum computing and neuromorphic systems
  • Mentor technical teams in advanced ML/DL methodologies and responsible AI practices
  • Collaborate with C-suite executives to secure strategic partnerships and funding

Qualifications

  • 10+ years in AI/ML leadership with 5+ years in strategic planning roles
  • Expertise in generative AI, neural networks, and quantum computing fundamentals
  • Proven track record of scaling AI initiatives from concept to enterprise deployment
  • PhD or equivalent in Computer Science, AI, or related field
  • Deep understanding of ethical AI frameworks and regulatory landscapes
  • Experience with cloud-native AI infrastructure (AWS/GCP/Azure)
  • Exceptional communication skills with ability to translate technical concepts to stakeholders
  • Published research or patents in AI/ML or adjacent fields

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Quantum Computing Generative AI Neural Networks AI Ethics Cloud Infrastructure

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