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AI & Automation Lead 2026

Innovatech Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Innovatech Solutions as we redefine the future of technology! We're seeking a visionary AI & Automation Lead 2026 to architect next-generation systems that will shape the decade ahead. This is your opportunity to lead groundbreaking projects in artificial intelligence, machine learning, and autonomous operations while mentoring a high-performing team of innovators. At Innovatech, we don't just adapt to change – we create it. Our collaborative, forward-thinking environment offers unparalleled growth opportunities and the chance to leave a lasting impact on how businesses operate in 2026 and beyond.

Why Innovatech?
Cutting-edge R&D labs
Industry-leading benefits package
Flexible hybrid work model
Annual innovation retreats
Stock options in a high-growth unicorn

Responsibilities

  • Design and implement scalable AI/ML infrastructure for enterprise automation
  • Lead cross-functional teams in developing predictive analytics solutions
  • Architect autonomous systems reducing operational costs by 40%+
  • Drive innovation in generative AI and natural language processing
  • Establish ethical AI frameworks and compliance protocols for 2026 standards
  • Mentor data scientists and ML engineers in emerging technologies
  • Collaborate with C-suite on digital transformation roadmaps
  • Present breakthrough findings at industry conferences and publish white papers

Qualifications

  • 10+ years in AI/ML with 5+ years in leadership roles
  • Expertise in Python, TensorFlow, PyTorch, and cloud architecture (AWS/Azure)
  • Proven track record of deploying production-grade autonomous systems
  • PhD in Computer Science or equivalent technical innovation
  • Published research in top-tier AI journals (NeurIPS, ICML, etc.)
  • Strong background in MLOps and DevOps integration
  • Certified in emerging AI frameworks (e.g., NVIDIA AI Enterprise)
  • Experience scaling AI teams from 5 to 50+ engineers

Required Skills

AI Machine Learning Python TensorFlow PyTorch AWS Azure MLOps DevOps Leadership Predictive Analytics Generative AI Natural Language Processing

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