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Information Technology 🏢 Full Time ⭐️ Verified

AI and Automation Lead

InnovateTech Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join InnovateTech Solutions as we redefine the future of intelligent automation. We're seeking a visionary AI and Automation Lead to spearhead our 2026 roadmap, transforming industries through cutting-edge machine learning and robotic process automation. This pivotal role demands strategic thinking, technical excellence, and a passion for building scalable AI systems that drive exponential growth.

As a key architect of our digital transformation, you'll collaborate with cross-functional teams to deploy AI solutions that optimize operations, enhance customer experiences, and unlock new revenue streams. Our culture thrives on innovation, continuous learning, and impact-driven initiatives.

Responsibilities

  • Design and implement end-to-end AI automation frameworks for enterprise-scale deployments
  • Lead a team of data scientists and engineers in developing predictive models and robotic solutions
  • Align AI initiatives with 2026 strategic goals across finance, healthcare, and logistics sectors
  • Drive innovation through R&D in generative AI and edge computing applications
  • Establish governance frameworks for ethical AI deployment and compliance
  • Present breakthrough findings to C-suite stakeholders and industry partners
  • Mentor talent in emerging AI paradigms and automation best practices

Qualifications

  • 10+ years in AI/ML engineering with 5+ years in leadership roles
  • Expertise in Python, TensorFlow, PyTorch, and cloud-native AI deployment (AWS/Azure)
  • Proven track record of delivering production-grade automation solutions
  • PhD or equivalent in Computer Science, Data Science, or related field
  • Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Strong background in MLOps and CI/CD for AI pipelines
  • Experience scaling teams from 5 to 50+ technical professionals
  • Deep understanding of ethical AI frameworks and regulatory landscapes

Required Skills

Artificial Intelligence Machine Learning Automation Leadership Python TensorFlow Cloud Computing MLOps Strategic Planning

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