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Information Technology 🏢 Full Time ⭐️ Verified

AI Solutions Architect - 2026 Visionary

Nexus Dynamics
Austin
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we build the infrastructure for 2026. We're seeking an AI Solutions Architect to pioneer next-generation intelligent systems that will redefine industries. This role offers unparalleled opportunity to shape the future through cutting-edge AI integration, cloud-native architectures, and ethical AI frameworks. If you're passionate about creating scalable solutions that bridge today's capabilities with tomorrow's possibilities, this is your moment to make history.

Our Austin hub serves as the innovation epicenter for our 2026 initiatives, where you'll collaborate with Nobel laureates, Turing Award recipients, and boundary-pushing entrepreneurs. We offer comprehensive benefits including equity, unlimited PTO, and a $15,000 annual learning stipend.

Responsibilities

  • Design and implement enterprise-grade AI solutions integrating machine learning, NLP, and computer vision for 2026 product roadmap
  • Architect cloud-native systems leveraging AWS/Azure/GCP with serverless and containerized deployments
  • Lead ethical AI framework development ensuring compliance with evolving 2026 regulatory standards
  • Mentor cross-functional teams in AI adoption and best practices through technical workshops
  • Conduct R&D on emerging quantum-AI hybrid computing paradigms
  • Develop MLOps pipelines for automated model deployment and monitoring at scale
  • Present architectural blueprints to C-suite stakeholders and venture capital partners

Qualifications

  • 10+ years in enterprise architecture with 5+ years specializing in AI/ML solution design
  • Expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Proven track record deploying production AI systems serving 1M+ users
  • Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Certification in AWS/Azure/GCP ML platforms and DevOps practices
  • Experience with quantum computing APIs (Qiskit, Cirq) and hybrid workflows
  • PhD in Computer Science, Mathematics, or equivalent breakthrough innovation
  • Portfolio demonstrating 3+ enterprise AI transformations

Required Skills

AI Architecture Machine Learning Cloud Computing Quantum Computing MLOps Ethics in AI Distributed Systems Python TensorFlow AWS Azure GCP Kubernetes

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