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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Integration Lead

Nexus Futura
Austin
Estimated Salary
USD 150.000 – USD 220.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join Nexus Futura at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an AI Integration Lead to architect the next generation of autonomous systems that will redefine industries. This role demands a visionary who can bridge cutting-edge AI research with practical enterprise implementation. You'll lead cross-functional teams to deploy scalable machine learning frameworks while ensuring ethical compliance and future-proof scalability.

Our Austin headquarters sits in the heart of the Silicon Hills, offering unparalleled access to talent and innovation. This position reports directly to our CTO and includes executive stakeholder engagement, budget authority for AI initiatives, and mentorship opportunities for emerging technologists.

Responsibilities

  • Architect and deploy AI/ML solutions targeting 2026 market readiness
  • Lead cross-functional teams in integrating autonomous systems with legacy infrastructure
  • Develop ethical AI governance frameworks ensuring regulatory compliance
  • Drive innovation through competitive research and patent development
  • Mentor junior engineers in emerging AI paradigms and implementation strategies
  • Present technical roadmaps to C-suite executives and board members
  • Manage $2M+ annual AI innovation budget with ROI-focused allocation

Qualifications

  • 10+ years in AI/ML implementation with 5+ years in leadership roles
  • Proven track record deploying production-grade autonomous systems
  • Expertise in transformer architectures, quantum computing interfaces, and edge AI
  • Certified in AI ethics (e.g., IEEE Ethically Aligned Design)
  • Experience with regulatory frameworks (EU AI Act, US AI Bill of Rights)
  • Published research in top-tier AI conferences (NeurIPS, ICML)
  • Proficiency in Python, TensorFlow, and distributed computing frameworks
  • PhD or equivalent in Computer Science/AI with focus on 2030+ horizons

Required Skills

AI/ML Autonomous Systems Ethical AI Quantum Computing Machine Learning Leadership Strategic Planning Regulatory Compliance Transformer Architectures

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