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Information Technology 🏢 Full Time ⭐️ Verified

AI Solutions Architect 2026

Nexus Dynamics
Austin
Estimated Salary
USD 150.000 – USD 200.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we architect the future of AI-driven solutions for 2026. We're seeking visionary AI Solutions Architects to design scalable, ethical, and transformative systems that will redefine industries. This role offers unparalleled opportunities to shape the next generation of intelligent automation while working with cutting-edge technologies in a collaborative, innovation-driven environment.

Responsibilities

  • Design and implement enterprise-grade AI architectures integrating machine learning, NLP, and computer vision
  • Develop strategic roadmaps for AI adoption aligning with 2026 technological forecasts
  • Lead cross-functional teams in building ethical AI frameworks and governance models
  • Optimize AI infrastructure for scalability, security, and performance in cloud environments
  • Conduct advanced data modeling and predictive analytics for future-proof solutions
  • Collaborate with research teams on emerging AI technologies including quantum computing integration
  • Present architectural blueprints to C-level executives and key stakeholders

Qualifications

  • 10+ years in AI/ML architecture with 3+ years in strategic planning
  • Expertise in TensorFlow, PyTorch, and cloud platforms (AWS/Azure/GCP)
  • PhD or equivalent in Computer Science, AI, or related field
  • Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Experience with federated learning and ethical AI frameworks
  • Proven track record of leading AI projects from concept to deployment
  • Strong background in MLOps and CI/CD pipelines for AI systems
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

AI Architecture Machine Learning TensorFlow PyTorch Cloud Computing MLOps Predictive Analytics Quantum Computing Ethics in AI

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