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Information Technology 🏢 Full Time ⭐️ Verified

2026 Tech Vision Lead - AI Innovation

FutureHorizon Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join FutureHorizon Labs at the forefront of 2026 technological evolution as we pioneer AI-driven solutions that will reshape industries. We're seeking a visionary Tech Lead to architect and implement next-generation AI systems that bridge today's capabilities with tomorrow's possibilities. In this pivotal role, you'll steer our innovation roadmap, mentor cross-functional teams, and deliver breakthrough technologies that position us as industry pioneers.

Our Austin-based hub offers an unparalleled environment for tech innovators, combining cutting-edge resources with collaborative freedom. If you're passionate about creating tangible impact through AI and want to shape the future of technology, this is your moment to lead the charge.

Responsibilities

  • Architect scalable AI frameworks for 2026 technology landscape, focusing on autonomous systems and predictive analytics
  • Lead cross-functional teams in developing and deploying advanced machine learning models
  • Drive innovation roadmap alignment with emerging tech trends (quantum computing, neural interfaces)
  • Establish robust testing protocols for next-gen AI systems ensuring reliability and ethical compliance
  • Mentor senior engineers in emerging technologies while fostering a culture of continuous learning
  • Collaborate with product teams to translate 2026 vision requirements into technical specifications
  • Optimize AI infrastructure for efficiency, scalability, and real-time processing capabilities

Qualifications

  • 10+ years in AI/ML development with 5+ years in technical leadership roles
  • Expertise in transformer architectures, reinforcement learning, and generative AI
  • Proven track record of deploying production-grade AI systems at scale
  • Strong background in cloud-native architectures (AWS/GCP/Azure) and MLOps
  • PhD or equivalent research experience in AI/Computer Science or related field
  • Published work in top-tier AI conferences (NeurIPS, ICML, CVPR) preferred
  • Deep understanding of ethical AI frameworks and responsible development practices

Required Skills

AI/ML Machine Learning Deep Learning Python TensorFlow PyTorch AWS GCP Azure MLOps Neural Networks Reinforcement Learning Quantum Computing Ethics

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