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Information Technology 🏢 Full Time ⭐️ Verified

AI Innovation Lead

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer AI solutions that will shape 2026 and beyond. We're seeking an AI Innovation Lead to architect next-generation systems that bridge current capabilities with tomorrow's possibilities. In this pivotal role, you'll drive our R&D roadmap while mentoring cross-functional teams to deliver transformative AI products that redefine industry standards.

Our Austin-based hub combines cutting-edge research with agile development in a culture that values bold thinking and collaborative execution. You'll work alongside world-class engineers, data scientists, and futurists to incubate breakthrough technologies in autonomous systems, quantum computing integration, and ethical AI frameworks.

Responsibilities

  • Architect and execute AI innovation roadmaps targeting 2026 market readiness
  • Lead research initiatives in generative AI, neural networks, and human-computer interfaces
  • Collaborate with product teams to translate research into commercial applications
  • Mentor technical teams in emerging AI paradigms and development methodologies
  • Establish partnerships with academic institutions and industry pioneers
  • Drive ethical AI frameworks and responsible innovation practices
  • Present breakthrough findings to executive stakeholders and industry forums

Qualifications

  • PhD in Computer Science, AI, or related field with 8+ years industry experience
  • Proven track record developing production-scale AI/ML systems
  • Expertise in transformer architectures, reinforcement learning, and MLOps
  • Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Experience leading technical teams of 10+ engineers and researchers
  • Strong background in deploying ethical AI frameworks and bias mitigation
  • Exceptional communication skills for translating complex concepts to diverse audiences

Required Skills

Artificial Intelligence Machine Learning Deep Learning Neural Networks Reinforcement Learning MLOps Generative AI AI Ethics Research Leadership Technical Strategy Quantum Computing

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