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Information Technology 🏢 Full Time ⭐️ Verified

AI Innovation Lead

Nexus Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we pioneer the next wave of AI-driven solutions for 2026. We're seeking a visionary AI Innovation Lead to architect transformative systems that redefine industry standards. This role blends strategic foresight with hands-on technical leadership to build scalable AI ecosystems across healthcare, finance, and sustainability sectors.

At Nexus Dynamics, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art innovation lab. We offer unparalleled growth opportunities, flexible hybrid work, and comprehensive benefits including equity in our pre-IPO unicorn startup. Shape the future of human-AI collaboration.

Responsibilities

  • Architect next-gen AI frameworks for autonomous systems and predictive analytics
  • Lead cross-functional teams in developing ethical AI governance protocols
  • Drive quantum computing integration for real-time data processing
  • Partner with C-suite executives to align AI initiatives with 2026 market forecasts
  • Secure $5M+ in innovation grants through strategic proposal development
  • Establish industry benchmarks for explainable AI deployment
  • Mentor junior researchers in advanced machine learning methodologies

Qualifications

  • PhD in Computer Science/AI with 7+ years industry experience
  • Published research in top-tier AI conferences (NeurIPS, ICML)
  • Proven track record scaling AI systems to 10M+ user bases
  • Expertise in federated learning and edge AI deployment
  • Deep knowledge of regulatory frameworks (EU AI Act, NIST AI RMF)
  • Strong background in MLOps and cloud-native AI infrastructure
  • Experience securing DARPA/NASA innovation grants preferred

Required Skills

Artificial Intelligence Machine Learning Quantum Computing MLOps Strategic Innovation AI Ethics Predictive Analytics

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