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Information Technology 🏢 Full Time ⭐️ Verified

AI Solutions Architect

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

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we build the AI-powered infrastructure for 2026. We're seeking an innovative AI Solutions Architect to design and implement cutting-edge machine learning frameworks that will redefine industry standards. This role offers unparalleled opportunity to shape the future of autonomous systems and predictive analytics while working alongside world-class engineers in Austin's thriving tech ecosystem.

Why Nexus Dynamics? We're not just preparing for the future – we're actively creating it. With 15+ years of pioneering AI breakthroughs, our Austin headquarters incubates breakthrough technologies in quantum computing and neural networks. Our engineers enjoy 401(k) matching, unlimited learning stipends, and equity participation in our $2B valuation.

Responsibilities

  • Design scalable AI architectures integrating LLMs, computer vision, and predictive analytics
  • Lead implementation of MLOps pipelines for real-time model deployment
  • Collaborate with CTO on quantum computing integration projects
  • Develop ethical AI governance frameworks compliant with 2026 regulatory standards
  • Mentor junior engineers through our Innovation Academy program
  • Drive patent applications for novel neural network optimization techniques

Qualifications

  • 8+ years in AI/ML architecture with production-level TensorFlow/PyTorch deployment
  • Proven expertise in distributed computing frameworks (Spark, Kubernetes)
  • PhD or equivalent in Computer Science/AI with published research
  • Experience leading $5M+ AI transformation initiatives
  • Certification in quantum computing fundamentals (IBM Qiskit preferred)
  • Portfolio demonstrating 3+ deployed autonomous system architectures

Required Skills

AI Architecture Machine Learning Quantum Computing MLOps LLMs Neural Networks Ethics in AI Distributed Systems

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