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Information Technology 🏢 Full Time ⭐️ Verified

AI Innovation Strategist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we shape the future of AI-driven innovation. We're seeking a visionary AI Innovation Strategist to architect transformative solutions that will redefine industries by 2026. This role demands a blend of technical expertise and strategic foresight to pioneer breakthrough applications in machine learning, automation, and human-AI collaboration. You'll lead cross-functional teams in developing cutting-edge prototypes while aligning breakthrough technologies with market needs and ethical frameworks. Our culture thrives on curiosity, collaboration, and relentless innovation in a dynamic Silicon Valley environment.

Responsibilities

  • Design and execute AI innovation roadmaps targeting 2026 market disruption
  • Lead R&D initiatives in generative AI, quantum computing integration, and neural interfaces
  • Collaborate with product teams to translate AI capabilities into scalable solutions
  • Establish ethical AI frameworks ensuring responsible deployment and bias mitigation
  • Identify emerging tech trends and competitive intelligence through market analysis
  • Present strategic vision to executive stakeholders and investors
  • Mentor cross-functional teams in AI-first methodologies

Qualifications

  • Advanced degree in Computer Science, AI, or related field (PhD preferred)
  • 8+ years in AI/ML strategy with 3+ years in leadership roles
  • Proven track record of shipping production AI systems with measurable impact
  • Deep expertise in transformer architectures, reinforcement learning, and MLOps
  • Strong understanding of regulatory landscapes (EU AI Act, US AI Bill of Rights)
  • Exceptional communication skills for technical and non-technical audiences
  • Published research or patents in AI/ML or adjacent fields
  • Experience with agile development and DevOps practices

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Quantum Computing Generative AI Neural Interfaces Ethics in AI R&D Leadership Market Analysis MLOps

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