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Information Technology 🏢 Full Time ⭐️ Verified

AI Solutions Architect - 2026 Visionary

Nexus Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution. We're seeking an AI Solutions Architect to pioneer breakthrough systems for 2026 and beyond. As a key innovator in our Austin R&D hub, you'll architect scalable AI frameworks that redefine industry standards. Our collaborative environment empowers you to transform theoretical concepts into tangible solutions impacting global markets.

At Nexus Dynamics, we blend cutting-edge research with practical implementation. You'll work alongside world-class data scientists and engineers in our state-of-the-art facility, driving projects that shape tomorrow's digital landscape. We offer competitive equity packages, flexible work arrangements, and dedicated innovation time to fuel your creativity.

Responsibilities

  • Design and implement end-to-end AI solutions for enterprise clients across healthcare, logistics, and fintech sectors
  • Lead cross-functional teams in deploying machine learning models achieving 99.5%+ accuracy rates
  • Architect cloud-native AI infrastructure using AWS/GCP services with 24/7 scalability
  • Develop ethical AI governance frameworks ensuring compliance with evolving 2026 regulatory standards
  • Drive innovation through rapid prototyping of generative AI and quantum computing integration
  • Present technical blueprints to C-level stakeholders securing multi-million dollar project approvals

Qualifications

  • 8+ years in AI/ML architecture with proven delivery of production-grade systems
  • Expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks
  • Advanced certification in cloud AI architecture (AWS/GCP) and MLOps
  • Deep understanding of ethical AI frameworks and regulatory compliance (GDPR, CCPA)
  • Published research in neural networks or quantum machine learning
  • Experience leading teams of 5+ engineers in agile development environments
  • Portfolio demonstrating deployment of AI systems serving 1M+ users

Required Skills

AI Architecture Machine Learning Cloud Computing TensorFlow Python Quantum Computing MLOps Ethical AI

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