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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Integration Architect

Nexus Solutions
Austin
Estimated Salary
USD 150.000 – USD 190.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join Nexus Solutions at the forefront of technological evolution as we build the intelligent infrastructure for 2026. We're seeking a visionary AI Integration Architect to design and implement cutting-edge systems that will redefine how businesses leverage artificial intelligence. This role offers unparalleled opportunities to shape the future of enterprise automation, machine learning deployment, and human-AI collaboration. Work alongside world-class engineers in our state-of-the-art Austin hub, where innovation meets execution.

Responsibilities

  • Architect end-to-end AI solutions for enterprise clients, focusing on 2026 technology horizons
  • Design scalable machine learning pipelines integrating quantum computing edge cases
  • Lead cross-functional teams in deploying ethical AI frameworks with bias mitigation protocols
  • Develop predictive analytics models for autonomous system optimization
  • Translate complex technical concepts into actionable business strategies for C-suite executives
  • Establish governance frameworks for generative AI deployment in regulated industries
  • Drive innovation sprints for next-gen neural network architectures

Qualifications

  • 10+ years in AI/ML architecture with proven enterprise-scale deployments
  • Expertise in federated learning and distributed AI systems
  • Certification in quantum computing fundamentals (e.g., IBM Q, D-Wave)
  • Deep knowledge of EU AI Act and US federal AI regulatory landscapes
  • Experience with MLOps platforms (e.g., Kubeflow, MLflow) on hybrid cloud infrastructures
  • Published research in explainable AI (XAI) or ethical algorithm design
  • Strong background in generative model fine-tuning (GPT-4+, Claude 3)
  • Ability to architect solutions for edge-AI/IoT convergence scenarios

Required Skills

AI Architecture Quantum Computing MLOps Generative AI Explainable AI Neural Networks Enterprise AI Machine Learning Ethics Cloud AI Predictive Analytics

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