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Information Technology 🏢 Full Time ⭐️ Verified

AI Innovation Strategist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we engineer solutions for 2026 and beyond. We're seeking an AI Innovation Strategist to architect our next-generation technology roadmap, bridging cutting-edge research with market-ready applications. This pivotal role demands visionary thinking to transform AI breakthroughs into industry-disrupting products while navigating ethical implications and scaling implementations. You'll collaborate with quantum computing teams, neuroscientists, and industrial designers to pioneer human-AI symbiosis systems that redefine productivity, creativity, and decision-making paradigms.

Responsibilities

  • Architect 5-year AI innovation roadmap aligned with 2026 technological inflection points
  • Lead cross-functional labs developing generative AI, neuromorphic computing, and predictive analytics
  • Translate emerging AI research into patentable solutions for healthcare, climate, and manufacturing sectors
  • Design ethical frameworks for autonomous systems and human-AI collaboration protocols
  • Partner with venture capital teams to identify and acquire disruptive AI startups
  • Present strategic vision to C-suite and external stakeholders through immersive demos
  • Mentor AI ethics committees and conduct impact assessments for emerging technologies

Qualifications

  • PhD in Computer Science, Cognitive Engineering, or related field with 8+ years AI strategy experience
  • Proven track record developing commercial AI products from research to deployment
  • Deep expertise in generative AI, reinforcement learning, and quantum machine learning
  • Published research in Nature/Science or top-tier AI conferences (NeurIPS, ICML)
  • Experience scaling AI systems across enterprise environments with 10M+ user bases
  • Certification in AI ethics (IEEE, ACM) and familiarity with EU AI Act frameworks
  • Portfolio demonstrating end-to-end AI product lifecycle management
  • Fluency in Python, TensorFlow, and quantum programming languages (Q#, Cirq)

Required Skills

AI Strategy Generative AI Quantum Computing Neuromorphic Engineering Product Lifecycle Management AI Ethics Predictive Analytics Cross-Functional Leadership

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