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Information Technology 🏢 Full Time ⭐️ Verified

AI Solutions Architect - 2026 Vision

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we architect solutions for 2026 and beyond. We're seeking a visionary AI Solutions Architect to design next-generation systems that will redefine industries. This role combines cutting-edge machine learning with strategic business transformation, offering unparalleled opportunities to shape the future of intelligent automation.

Our Austin-based hub operates at the intersection of innovation and sustainability, offering competitive benefits, flexible work arrangements, and a culture that rewards bold thinking. Be part of a team where your expertise directly impacts global technological advancement.

Responsibilities

  • Architect scalable AI/ML solutions for enterprise clients targeting 2026 market needs
  • Lead cross-functional teams in implementing advanced neural networks and predictive analytics
  • Develop future-proof infrastructure incorporating quantum computing and edge AI capabilities
  • Create strategic roadmaps for AI adoption across finance, healthcare, and logistics sectors
  • Drive innovation through research in federated learning and ethical AI frameworks
  • Collaborate with C-suite executives to align AI initiatives with long-term business objectives
  • Mentor junior engineers in emerging technologies and sustainable AI practices

Qualifications

  • Master's degree in Computer Science, AI, or related field (PhD preferred)
  • 8+ years of experience designing enterprise-grade AI solutions with proven ROI
  • Expertise in TensorFlow/PyTorch, distributed computing, and cloud architectures (AWS/GCP)
  • Deep understanding of ethical AI frameworks and responsible development practices
  • Strong background in MLOps, CI/CD pipelines, and automated model deployment
  • Published research in top-tier AI conferences or patents in machine learning
  • Experience with quantum computing integration and hybrid AI systems
  • Certification in AI architecture (e.g., Google Professional ML Engineer)

Required Skills

AI Architecture Machine Learning TensorFlow PyTorch Quantum Computing MLOps Cloud Computing Ethical AI Neural Networks Predictive Analytics Distributed Systems

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