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Information Technology 🏢 Full Time ⭐️ Verified

AI Innovation Lead

Nexus Solutions
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Solutions at the forefront of technological evolution as we pioneer AI-driven solutions for 2026 and beyond. We're seeking a visionary AI Innovation Lead to architect our next-generation autonomous systems and redefine industry standards. This role combines strategic foresight with hands-on technical leadership in a dynamic, forward-thinking environment.

As a key architect of our AI roadmap, you'll drive breakthrough innovations in machine learning, natural language processing, and autonomous decision-making. You'll collaborate with elite engineers to develop scalable AI solutions that solve complex real-world problems while mentoring the next wave of AI talent. The ideal candidate thrives at the intersection of cutting-edge research and practical implementation.

Responsibilities

  • Architect and implement cutting-edge AI/ML systems for autonomous decision-making platforms
  • Lead cross-functional teams in developing generative AI solutions for enterprise clients
  • Drive innovation in neural network optimization and quantum AI integration
  • Define strategic technology roadmaps aligned with 2026 industry trends
  • Mentor AI specialists and foster a culture of continuous innovation
  • Collaborate with product teams to translate AI capabilities into market-leading solutions
  • Pioneer ethical AI frameworks and responsible development practices

Qualifications

  • PhD or Master's in Computer Science/AI with 8+ years of ML engineering experience
  • Proven track record deploying production-scale LLMs and generative AI systems
  • Expertise in transformer architectures, reinforcement learning, and multimodal AI
  • Strong background in ethical AI governance and bias mitigation strategies
  • Experience leading technical teams through full AI lifecycle development
  • Published research in top-tier AI conferences or equivalent industry impact
  • Proficiency in PyTorch, TensorFlow, and cloud-native AI infrastructure

Required Skills

Machine Learning Generative AI Deep Learning Natural Language Processing AI Ethics Reinforcement Learning PyTorch TensorFlow

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