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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Integration Architect

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

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we shape the AI-driven future. We're seeking a visionary 2026 AI Integration Architect to design and implement next-generation artificial intelligence frameworks that will redefine industry standards. This pivotal role requires a strategic thinker who can bridge cutting-edge AI research with practical business applications, driving innovation across our global portfolio.

In this position, you'll lead cross-functional teams to architect scalable AI solutions, anticipate technological disruptions, and develop forward-looking integration strategies. Our Austin headquarters offers a collaborative environment where your expertise will directly impact how enterprises prepare for the 2026 digital landscape.

Responsibilities

  • Design and implement AI integration frameworks for enterprise-scale deployments
  • Develop strategic roadmaps for AI adoption across diverse industry verticals
  • Lead research initiatives on emerging AI technologies (quantum computing, neural networks)
  • Collaborate with product teams to align AI capabilities with market demands
  • Conduct risk assessments for AI implementations in regulated sectors
  • Mentor junior architects on ethical AI development practices
  • Present architectural blueprints to C-level executives and external partners

Qualifications

  • 10+ years in AI/ML architecture with 3+ years in strategic planning roles
  • Expertise in distributed systems, cloud-native AI deployments (AWS/Azure/GCP)
  • Deep understanding of neural network architectures and quantum computing principles
  • Proven experience leading AI integration projects in Fortune 500 environments
  • Published research in peer-reviewed AI or computational science journals
  • Certification in AI ethics frameworks (e.g., IEEE Ethically Aligned Design)
  • Mastery of Python, TensorFlow, and MLOps toolchains
  • PhD in Computer Science, AI, or related field preferred

Required Skills

AI Integration Machine Learning Architecture Quantum Computing Neural Networks Strategic Planning Cloud AI Ethics in AI MLOps

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