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Information Technology 🏢 Full Time ⭐️ Verified

Future-Ready AI Solutions Architect

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 220.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we build the digital infrastructure for 2026. We're seeking a visionary AI Solutions Architect to design next-generation systems that will redefine industries. This role offers unparalleled opportunity to shape the future of AI integration, working with cutting-edge technologies in a collaborative, innovation-driven environment. If you're passionate about solving tomorrow's challenges today, this is your moment to make history.

Responsibilities

  • Architect scalable AI/ML solutions integrating quantum-resistant algorithms and edge computing paradigms
  • Lead cross-functional teams in implementing autonomous systems with federated learning capabilities
  • Design ethical AI frameworks ensuring compliance with 2026 regulatory standards
  • Develop hybrid cloud-native infrastructures supporting real-time predictive analytics
  • Optimize neural network architectures for energy-efficient distributed computing
  • Drive innovation through continuous prototyping of generative AI applications
  • Establish technical governance for AI lifecycle management from data ingestion to deployment

Qualifications

  • Advanced degree in Computer Science, AI, or related field with 8+ years of architecture experience
  • Expertise in MLOps pipelines and cloud platforms (AWS/GCP/Azure) with serverless architectures
  • Deep understanding of transformer models, reinforcement learning, and explainable AI techniques
  • Proven track record architecting solutions for high-scale (>10M users) AI applications
  • Certifications in TensorFlow, PyTorch, or cloud architecture preferred
  • Strong background in cybersecurity principles applied to AI systems
  • Experience with cross-functional leadership in agile development environments

Required Skills

AI/ML Architecture Quantum Computing Edge Computing MLOps Cloud Infrastructure Neural Networks Ethical AI Federated Learning

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