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Information Technology 🏢 Full Time ⭐️ Verified

AI & Automation Lead (2026 Vision)

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join Nexus Innovations as we pioneer the technological landscape of 2026. We're seeking an AI & Automation Lead to architect our next-gen digital infrastructure and drive transformative innovation. This role sits at the intersection of cutting-edge AI research and scalable automation solutions, shaping how businesses will operate in the near future. You'll lead a cross-functional team of engineers and data scientists to deploy AI-powered systems that redefine industry standards.

Our Austin-based hub offers unparalleled opportunities to work with Fortune 500 clients on high-impact projects. We provide competitive equity packages, flexible remote options, and a culture that rewards bold thinking. If you're passionate about building the future and thrive in fast-paced environments, this is your moment to make history.

Responsibilities

  • Design and implement AI-driven automation frameworks for enterprise clients
  • Lead a team of 8+ engineers in developing predictive analytics solutions
  • Architect cloud-native infrastructure supporting 2026-era AI workloads
  • Collaborate with C-suite executives to align technology strategy with business goals
  • Drive innovation in machine learning model deployment and scalability
  • Establish governance protocols for ethical AI implementation
  • Present thought leadership at industry conferences and publish white papers

Qualifications

  • 10+ years in AI/ML development with 5+ years in leadership roles
  • Expertise in Python, TensorFlow/PyTorch, and cloud platforms (AWS/GCP)
  • Proven track record of deploying production-grade AI systems at scale
  • Strong background in automation frameworks (Ansible, Terraform, Kubernetes)
  • Experience with MLOps pipelines and CI/CD for AI applications
  • PhD in Computer Science or equivalent industry innovation
  • Published research in top-tier AI conferences (NeurIPS, ICML)
  • Experience advising executive teams on AI strategy and ROI

Required Skills

AI Machine Learning Cloud Architecture Leadership Automation MLOps Python TensorFlow Strategic Planning

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