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Information Technology 🏢 Full Time ⭐️ Verified

AI & Automation Lead

QuantumLeap Innovations
Austin
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join QuantumLeap Innovations at the forefront of technological evolution as we pioneer AI-driven solutions for 2026 and beyond. We're seeking an visionary AI & Automation Lead to architect transformative systems that will redefine industries. This role demands strategic innovation, cutting-edge technical expertise, and the ability to translate complex concepts into scalable, future-proof automation frameworks. You'll collaborate with cross-functional teams to deploy next-gen AI models, optimize robotic processes, and build intelligent ecosystems that anticipate market needs three years ahead. At QuantumLeap, we don't just adapt to the future—we create it.

Responsibilities

  • Design and implement end-to-end AI automation pipelines using machine learning and deep learning frameworks
  • Lead R&D initiatives for predictive analytics and autonomous decision systems
  • Architect scalable cloud-native solutions integrating IoT, NLP, and computer vision technologies
  • Develop ethical AI governance frameworks ensuring compliance with future regulatory landscapes
  • Mentor cross-functional teams in agile development and DevOps practices for AI deployment
  • Drive innovation through competitive analysis of emerging AI/automation trends
  • Optimize system performance using advanced algorithms and quantum computing principles

Qualifications

  • Master's degree in Computer Science, AI, or related field with 8+ years of experience
  • Expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS/Azure/GCP)
  • Proven track record deploying production-grade AI systems at enterprise scale
  • Deep understanding of MLOps, CI/CD pipelines, and infrastructure-as-code
  • Experience with robotic process automation (UiPath, Automation Anywhere)
  • Strong knowledge of ethical AI frameworks and responsible development practices
  • Published research or patents in AI/ML or automation technologies preferred

Required Skills

AI Machine Learning Automation TensorFlow Cloud Architecture MLOps Python Robotics Predictive Analytics

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