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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect 2026

Nexus Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we pioneer next-generation AI systems for 2026. We seek a visionary AI Systems Architect to design and implement scalable machine learning frameworks that will redefine industry standards. This role offers unparalleled opportunities to shape the future of autonomous systems while working with Fortune 500 clients in a cutting-edge environment.

What You'll Achieve: Lead cross-functional teams in developing AI infrastructure supporting 10M+ daily interactions, architect real-time decision engines for autonomous vehicles, and pioneer quantum-compute-optimized neural networks. You'll directly influence our 2026 product roadmap while mentoring emerging AI specialists.

Responsibilities

  • Design and deploy distributed AI systems processing petabytes of real-time data
  • Architect quantum-resistant ML pipelines for critical infrastructure
  • Lead migration of legacy systems to next-gen AI architectures
  • Develop ethical AI governance frameworks compliant with 2026 regulations
  • Optimize neural networks for edge computing in IoT ecosystems
  • Collaborate with product teams to define AI-driven feature roadmaps
  • Present architectural blueprints to C-suite executives and technical stakeholders

Qualifications

  • 8+ years in AI/ML architecture with 3+ years designing production-scale systems
  • Expertise in TensorFlow/PyTorch and distributed computing frameworks
  • PhD or equivalent in Computer Science/AI with published research
  • Proven experience with MLOps pipelines and CI/CD for ML systems
  • Deep understanding of ethical AI and bias mitigation techniques
  • Strong background in quantum computing concepts
  • Architectural certifications (AWS/Azure/GCP) preferred

Required Skills

AI Architecture Machine Learning TensorFlow PyTorch Distributed Systems MLOps Quantum Computing Ethical AI AWS Azure GCP Python Kubernetes

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