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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Solutions Architect

QuantumLeap Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an innovative AI Solutions Architect to design next-generation intelligent systems that will redefine industries. In this high-impact role, you'll collaborate with elite researchers to develop scalable AI frameworks, implement cutting-edge machine learning algorithms, and lead strategic digital transformation initiatives. Our Austin-based hub offers state-of-the-art facilities and a culture where your visionary ideas become reality.

Why QuantumLeap? We're not just building for today – we're architecting tomorrow. With 98% employee retention and industry-leading R&D investments, you'll have the resources and autonomy to shape the future of AI while advancing your career in one of America's most dynamic tech ecosystems.

Responsibilities

  • Design and implement scalable AI/ML solutions for enterprise clients across healthcare, finance, and logistics sectors
  • Lead cross-functional teams of data scientists and engineers in developing predictive models for 2026 market needs
  • Architect cloud-native infrastructure supporting real-time AI inference at edge computing endpoints
  • Conduct advanced market research to identify emerging technology trends and competitive opportunities
  • Develop strategic roadmaps for AI implementation ensuring ethical compliance and long-term scalability
  • Mentor junior architects and present technical blueprints to C-suite executives and key stakeholders

Qualifications

  • Master's degree in Computer Science, AI, or related field (PhD preferred)
  • 8+ years experience designing enterprise-grade AI/ML solutions with proven deployment success
  • Expertise in TensorFlow, PyTorch, and distributed computing frameworks (Spark, Kubernetes)
  • Strong background in MLOps and CI/CD pipelines for AI systems
  • Published research in neural networks or reinforcement learning (NeurIPS, ICML)
  • Proficiency in quantum computing principles and quantum machine learning algorithms
  • Experience leading projects with budgets exceeding $5M and teams of 15+ engineers

Required Skills

AI/ML Architecture Quantum Computing MLOps TensorFlow PyTorch Distributed Systems Strategic Planning Neural Networks Reinforcement Learning Edge Computing

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