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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Innovation Lead

Nexus Futuristics
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join Nexus Futuristics at the vanguard of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking a visionary 2026 AI Innovation Lead to architect next-generation artificial intelligence systems that will redefine industries. This role blends strategic foresight with hands-on technical leadership, driving our mission to create ethical, scalable AI ecosystems.

Why Nexus Futuristics? We're a collective of futurists and engineers building the infrastructure for tomorrow. Our Austin hub fosters radical collaboration with Fortune 500 partners and emerging startups alike. You'll work on projects with global impact while enjoying competitive benefits and an innovation-driven culture.

Responsibilities

  • Architect AI roadmaps for 2026+ applications in autonomous systems, quantum computing integration, and human-AI collaboration
  • Lead cross-functional teams to prototype and deploy bleeding-edge AI solutions
  • Identify emerging tech trends (neuromorphic computing, synthetic biology interfaces) and assess commercial viability
  • Develop governance frameworks for ethical AI deployment in regulated industries
  • Secure strategic partnerships with academia and industry labs for R&D acceleration
  • Mentor talent in futuristic technology adoption and digital transformation

Qualifications

  • MS/PhD in Computer Science, AI, or related field with 8+ years of AI implementation experience
  • Proven track record leading AI projects at scale with measurable business impact
  • Deep expertise in transformer architectures, reinforcement learning, and generative models
  • Published research in AI ethics or future-focused technology (NeurIPS, ICLR preferred)
  • Experience with regulatory frameworks (EU AI Act, NIST AI RMF)
  • Exceptional strategic communication skills for C-suite and technical audiences
  • Portfolio demonstrating work on futuristic AI applications (autonomous systems, AGI precursors)

Required Skills

AI/ML Strategic Foresight Quantum Computing Generative AI Autonomous Systems Ethics Governance R&D Leadership Technology Roadmapping

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