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Information Technology 🏢 Full Time ⭐️ Verified

AI & Automation Strategist

FuturEdge Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join FuturEdge Solutions at the forefront of technological innovation as we shape the future of AI-driven automation. We're seeking a visionary AI & Automation Strategist to architect transformative solutions that will redefine industries by 2026. This hybrid role combines cutting-edge research with practical implementation, requiring expertise in machine learning, process automation, and ethical AI frameworks.

As a key member of our innovation lab, you'll collaborate with Fortune 500 partners to deploy scalable automation systems while ensuring alignment with emerging regulatory standards. The ideal candidate thrives in fast-paced environments and possesses a passion for solving complex problems through intelligent systems.

Responsibilities

  • Design and implement end-to-end automation frameworks using AI/ML technologies
  • Lead cross-functional teams in deploying robotic process automation (RPA) solutions
  • Conduct feasibility studies for AI integration into legacy systems
  • Develop ethical governance frameworks for autonomous decision-making systems
  • Optimize machine learning pipelines for real-time data processing
  • Present strategic roadmaps to C-level stakeholders and industry partners
  • Stay current with evolving AI regulations and compliance requirements

Qualifications

  • Minimum 5 years in AI/ML or automation implementation roles
  • Expertise in Python, TensorFlow/PyTorch, and cloud platforms (AWS/Azure)
  • Certification in AI ethics or responsible AI practices
  • Proven experience with RPA tools (UiPath, Automation Anywhere)
  • Strong background in data architecture and ETL processes
  • Experience with MLOps and CI/CD for ML systems
  • Excellent communication skills for technical and non-technical audiences

Required Skills

AI/ML Automation Python TensorFlow AWS RPA Machine Learning Ethics MLOps Data Architecture

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