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Information Technology 🏢 Full Time ⭐️ Verified

AI Innovation Strategist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 280.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer solutions for 2026's digital frontier. We're seeking an AI Innovation Strategist to architect transformative AI systems that will redefine industries. This role blends cutting-edge research with strategic vision, requiring you to develop scalable AI frameworks while aligning them with market demands. You'll collaborate with multidisciplinary teams to prototype breakthrough applications in quantum computing, neural interfaces, and autonomous systems. Our Austin headquarters offers state-of-the-art facilities and a culture that champions intellectual curiosity and rapid experimentation.

Responsibilities

  • Design and implement next-generation AI architectures for 2026 technological landscape
  • Lead cross-functional teams in developing AI prototypes with 10x efficiency improvements
  • Conduct market analysis to identify emerging AI opportunities and threats
  • Create strategic roadmaps for integrating AI with quantum computing and IoT ecosystems
  • Develop ethical AI governance frameworks ensuring responsible deployment
  • Present innovation blueprints to C-suite executives and venture partners
  • Mentor junior researchers in advanced machine learning methodologies

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in transformer architectures, federated learning, and generative AI
  • Proven track record deploying AI systems at scale (>10M users)
  • Deep understanding of quantum computing principles and neural interfaces
  • Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Experience with MLOps pipelines and cloud-native AI infrastructure
  • Strong strategic planning skills with ability to translate technical vision to business impact

Required Skills

Machine Learning Quantum Computing Neural Networks Strategic Planning MLOps Generative AI Ethics in AI Cloud Architecture

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