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AI Innovation Lead (2026)

Nexus Futures Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Futures Inc. at the forefront of 2026's technological revolution. We're seeking an AI Innovation Lead to architect tomorrow's solutions today. This pivotal role bridges cutting-edge research with real-world impact, driving our next-gen AI initiatives across healthcare, sustainability, and smart infrastructure. You'll lead a cross-functional team of visionaries to transform theoretical concepts into scalable innovations that redefine human-machine collaboration.

Our culture thrives on intellectual curiosity and bold experimentation. With headquarters in San Francisco's innovation district, we offer unparalleled access to industry pioneers, venture capital networks, and policy influencers shaping 2026's digital landscape. This role reports directly to our Chief Technology Officer and includes executive-level stakeholder engagement.

Responsibilities

  • Architect and execute 2026-focused AI roadmaps aligning with global sustainability and human augmentation trends
  • Lead cross-functional teams of ML engineers, UX designers, and domain experts in developing prototype solutions
  • Secure $5M+ in R&D funding through strategic partnerships with government initiatives and private accelerators
  • Drive adoption of next-gen AI ethics frameworks ensuring responsible innovation deployment
  • Present breakthrough findings at global forums including World Economic Forum and IEEE 2026 Summits
  • Mentor emerging talent through our Future Leaders Fellowship program

Qualifications

  • 10+ years in AI/ML leadership with proven experience in scaling research to production
  • Deep expertise in federated learning, quantum-adjacent algorithms, or neuromorphic computing
  • Published work in top-tier journals (Nature AI, Science Robotics) or equivalent industry impact
  • Successful track record securing grants from DARPA, NSF, or equivalent innovation bodies
  • PhD in Computer Science/Cognitive Neuroscience or equivalent practical innovation portfolio
  • Experience with ISO/IEC 42001 and EU AI Act compliance frameworks
  • Portfolio demonstrating 3+ commercialized AI products with >1M users

Required Skills

AI Strategy Machine Learning Leadership Quantum Computing Ethics Federated Learning Neuromorphic Systems Policy Innovation R&D Funding Human-AI Collaboration

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