Sr. Innovation Engineer, Ww Amzl Innovation Engineering

Amazon Amazon · Big Tech · Milan, Italy · Systems, Quality, & Security Engineering

This role focuses on identifying, evaluating, and integrating advanced technologies, including AI systems, within Amazon's Logistics (AMZL) Delivery Stations. The Sr. Innovation Engineer will define use cases, develop integration roadmaps, evaluate technology providers, and partner with various teams to improve safety, productivity, and the associate experience in the last-mile delivery network. The role involves a blend of technical, AI, process engineering, and analytical skills, with a focus on robotics and automation in logistics.

What you'd actually do

  1. Identify, assess, and prioritize advanced technology use cases within AMZL Delivery Stations by analyzing process paths, ergonomic challenges, and key gaps,
  2. Own the integration roadmap for AMZL, defining a 3–5-year strategy aligned with the broader portfolio,
  3. Evaluate technology providers and platforms, conducting technical due diligence and benchmarking against operational requirements,
  4. Author white papers and business cases for deployment initiatives, quantifying ROI, safety improvements, and associate experience impact,
  5. Influence technical and business decisions through data-driven contributions based on pilot results, simulation outputs, and technology validation plans,

Skills

Required

  • Experience in an analytical tasks or projects, working with data
  • Speak, write, and read fluently in English
  • Bachelor's degree or above in robotics, mechanical/mechatronics engineering, systems engineering or related field
  • Experience designing complex systems for automation in logistics or manufacturing, or experience with product development in automotive, aerospace, automation equipment or related field
  • Experience in robotics design, automation systems development, control systems design, or related product development
  • Experience performing complex business case analysis to justify technical decisions and presenting the justification to management in a high-level review

Nice to have

  • Experience working with or evaluating AI systems
  • Experience with automation and any version control tools, or experience demonstrating software engineering skills in a previous intership, work experience, coding competitions, or publications and experience troubleshooting and debugging technical systems
  • Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications

What the JD emphasized

  • advanced technology
  • AI
  • advanced systems
  • emerging technologies
  • advanced technology
  • AI
  • advanced systems
  • advanced technology
  • AI systems
  • machine learning technologies
  • Reinforcement Learning
  • Deep Learning
  • Computer Vision
  • Natural Language Processing

Other signals

  • identify and evaluate the proper use cases for advanced technology
  • bridging the gap between emerging technologies and real operational needs
  • defining where advanced systems can create the highest value
  • partnering with teams across the company to improve safety, productivity, and the associate experience