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Information Technology 🏢 Full Time ⭐️ Verified

AI Product Architect - 2026 Visionary

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

Job Description

Join QuantumLeap Innovations to architect the future of AI-driven products for 2026. We're seeking a visionary AI Product Architect to design groundbreaking solutions that will redefine human-technology interaction. You'll lead end-to-end development of intelligent systems while mentoring cross-functional teams in our cutting-edge Austin headquarters. This role offers unparalleled opportunities to shape next-gen AI applications in sectors ranging from healthcare to autonomous systems.

Our culture champions innovation through 20% time for personal R&D projects, quarterly hackathons, and partnerships with MIT's AI Lab. Enjoy comprehensive benefits including equity, unlimited PTO, and a $10k annual learning stipend.

Responsibilities

  • Architect scalable AI/ML systems for 2026-era product ecosystems
  • Lead technical strategy for generative AI applications across industries
  • Design ethical AI frameworks ensuring compliance with evolving regulations
  • Mentor engineers on quantum computing integration and edge AI deployment
  • Collaborate with C-suite to define 5-year technology roadmaps
  • Drive innovation through quarterly R&D sprints with $50k budget
  • Present architectural blueprints to board of directors and venture partners

Qualifications

  • 10+ years in AI/ML architecture with 3+ years in leadership roles
  • Expertise in transformer models, neural architecture search, and federated learning
  • Published research in top-tier AI conferences (NeurIPS, ICML)
  • Proven track record of shipping production-grade AI systems serving 1M+ users
  • Advanced degree in Computer Science, AI, or related field
  • Strong background in quantum computing fundamentals and algorithms
  • Certification in AI ethics frameworks (e.g., IEEE 7000)
  • Experience with MLOps pipelines and cloud-native AI deployment

Required Skills

AI Architecture Machine Learning Quantum Computing Generative AI Neural Networks MLOps Ethics in AI Cloud AI Services

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