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Information Technology 🏢 Full Time ⭐️ Verified

AI Innovation Strategist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we shape the future of AI-driven solutions. We seek an AI Innovation Strategist to architect cutting-edge frameworks that will redefine industry standards by 2026. This role combines deep technical expertise with visionary leadership to transform emerging AI capabilities into tangible business value.

Our ideal candidate thrives in ambiguity, anticipates market shifts, and bridges the gap between theoretical research and practical implementation. You'll collaborate with world-class researchers and product teams to pioneer next-generation AI systems that solve humanity's most complex challenges.

Responsibilities

  • Architect AI innovation roadmaps aligned with 2026 technological inflection points
  • Lead cross-functional teams in developing prototype AI systems for Fortune 500 clients
  • Conduct horizon scanning to identify breakthrough AI opportunities in quantum computing and biotech
  • Translate complex AI concepts into actionable business strategies for C-suite executives
  • Establish ethical AI governance frameworks ensuring responsible deployment by 2026
  • Drive patent development for novel AI methodologies with commercial applications

Qualifications

  • PhD or equivalent in Machine Learning/AI with 5+ years industry experience
  • Proven track record deploying production AI systems at scale (GPT-4 level or equivalent)
  • Deep expertise in transformer architectures, reinforcement learning, and multimodal AI
  • Published research at NeurIPS/ICML with 500+ citations
  • Experience leading AI initiatives in regulated industries (healthcare/finance)
  • Strong proficiency in MLOps tools (Kubeflow, MLflow) and cloud platforms (AWS/Azure)
  • Exceptional strategic thinking with ability to articulate complex technical concepts to non-technical stakeholders

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Research Ethics MLOps Cloud Computing Quantum Computing Biotech AI

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