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Information Technology 🏢 Full Time ⭐️ Verified

AI Solutions Architect - 2026 Vision

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

Job Description

Join QuantumLeap Dynamics at the forefront of 2026's technological revolution! We're seeking an AI Solutions Architect to design cutting-edge systems that will define the next generation of human-machine collaboration. In this pivotal role, you'll architect AI frameworks that anticipate future market shifts and deliver transformative business value. Our Austin headquarters incubates visionary projects with global impact, backed by $2B in R&D funding. You'll collaborate with Nobel laureates and industry pioneers to shape how humanity interacts with intelligent systems.

This position offers unparalleled access to our 2026 Tech Lab, where you'll prototype solutions for quantum computing integration, neural-augmented interfaces, and autonomous ethical AI frameworks. We provide industry-leading benefits including equity, unlimited learning stipends, and flexible hybrid work arrangements.

Responsibilities

  • Architect scalable AI solutions for 2026-era quantum computing environments
  • Lead cross-functional teams in developing neural-augmented human-AI collaboration systems
  • Design ethical AI governance frameworks compliant with 2026 global tech regulations
  • Prototype next-gen autonomous decision engines using federated learning
  • Drive innovation in human-AI symbiosis through neuromorphic computing integration
  • Develop predictive AI models for market disruption forecasting
  • Mentor junior architects in emerging quantum-AI hybrid methodologies

Qualifications

  • 10+ years in AI/ML architecture with quantum computing certification
  • Expertise in neural-augmented interface design and neuromorphic systems
  • Proven track record in ethical AI governance frameworks
  • PhD or equivalent in Computer Science with focus on human-AI symbiosis
  • Published research in top-tier journals on quantum-AI hybrid systems
  • Experience with federated learning in regulated industries
  • Deep knowledge of 2026 global tech regulatory landscapes

Required Skills

Quantum Computing Neural Augmented Interfaces AI Governance Neuromorphic Systems Federated Learning Predictive Modeling Human-AI Symbiosis

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