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Information Technology 🏢 Full Time ⭐️ Verified

AI Futures Architect

QuantumLeap Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of technological evolution as we shape 2026's digital landscape. We're seeking an AI Futures Architect to design next-generation intelligent systems that will redefine industries. This role combines cutting-edge AI research with strategic foresight to build solutions for tomorrow's challenges.

Our Austin-based innovation hub offers unparalleled opportunities to work with Nobel Prize-winning researchers and deploy your solutions in Fortune 500 environments. You'll lead projects that directly impact human advancement while enjoying our state-of-the-art R&D facilities and flexible hybrid work policy.

Responsibilities

  • Design and prototype AI systems capable of autonomous adaptation to 2026+ technological paradigms
  • Develop strategic roadmaps for quantum-AI integration in enterprise environments
  • Lead cross-functional teams in building ethical AI frameworks for regulated industries
  • Conduct horizon scanning for emerging technologies and assess commercial viability
  • Collaborate with policymakers on AI governance frameworks for 2026 deployment
  • Present innovations to C-suite executives and venture capital partners

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
  • Expertise in transformer architectures, reinforcement learning, and quantum computing
  • Proven track record of deploying production AI systems at scale
  • Deep understanding of ethical AI frameworks and regulatory landscapes
  • Strong background in futures methodology and technology forecasting
  • Experience securing $10M+ in R&D funding or government grants

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Strategic Foresight Ethical AI Reinforcement Learning Transformer Architectures Technology Forecasting

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