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Information Technology 🏢 Full Time ⭐️ Verified

AI Innovation Lead

Nexus Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of 2026's technological revolution. We're seeking an AI Innovation Lead to architect our next-gen AI ecosystem and drive breakthrough solutions that will redefine industries. This role offers unparalleled opportunity to shape the future of artificial intelligence while working with world-class researchers and engineers in Austin's vibrant tech hub.

You'll lead cross-functional teams to develop cutting-edge AI applications, from autonomous systems to predictive analytics, ensuring our solutions align with emerging 2026 technology standards. We offer competitive equity packages, flexible work arrangements, and a commitment to continuous learning through our AI Academy.

Responsibilities

  • Architect and implement scalable AI solutions for 2026 market needs
  • Lead R&D initiatives in generative AI, quantum computing integration, and neural interfaces
  • Collaborate with product teams to translate AI capabilities into market-ready innovations
  • Establish ethical AI governance frameworks compliant with 2026 regulatory standards
  • Mentor engineers in advanced machine learning techniques and emerging technologies
  • Drive strategic partnerships with research institutions and tech pioneers

Qualifications

  • PhD or MS in Computer Science/AI with 8+ years of applied AI development
  • Proven expertise in transformer architectures, reinforcement learning, and MLOps
  • Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Experience leading AI teams of 10+ engineers in agile environments
  • Deep understanding of 2026 technology trends: quantum-AI hybrids, neuromorphic computing
  • Strong background in deploying AI solutions at scale (AWS/GCP/Azure)
  • Certification in AI ethics frameworks (IEEE, EU AI Act compliance)

Required Skills

AI Machine Learning Deep Learning Python TensorFlow PyTorch Quantum Computing Neural Interfaces MLOps Ethics Leadership

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