

Sr. Innovation Engineer, WW AMZL Innovation Engineering
About the role
Amazon opened its virtual doors in 1995 and strives to be the world’s most customer-centric company; Amazon Logistics (AMZL) is hiring a Sr. AI Integration Engineer to identify and evaluate the proper use cases for advanced technology within the AMZL roadmap.
The role sits on the Amazon Logistics Innovation Engineering team and is responsible for defining where advanced systems can create the highest value in AMZL Delivery Stations; the position requires combined advanced technology, AI, process engineering, and analytical skills and will influence the last-mile roadmap to improve safety, productivity, and the associate experience.
Responsibilities
- Identify, assess, and prioritize advanced technology use cases within AMZL Delivery Stations by analyzing process paths, ergonomic challenges, and key gaps.
- Own the integration roadmap for AMZL, defining a 3–5-year strategy aligned with the broader portfolio.
- Evaluate technology providers and platforms, conducting technical due diligence and benchmarking against operational requirements.
- Author white papers and business cases for deployment initiatives, quantifying ROI, safety improvements, and associate experience impact.
- Influence technical and business decisions through data-driven contributions based on pilot results, simulation outputs, and technology validation plans.
- Partner with providers, Mechanical, Controls and Software teams to define integration requirements (gripping, navigation, perception, task planning) for DS environments.
- Partner with simulation and digital twin teams to model performance in target process paths before physical deployment.
- Lead the scalability assessment for technologies, working with teams across the company to define path-to-scale economics.
Requirements
This role requires experienced and entrepreneurial-minded individuals with combined advanced technology, AI, process engineering, and analytical skills.
Skills
- Define integration requirements for gripping, navigation, perception, and task planning in Delivery Station environments.
- Use simulation and digital twin models to model performance in target process paths prior to physical deployment.
- Conduct technical due diligence, benchmark platforms against operational requirements, and use pilot and simulation data to inform decisions.
Work arrangement
Typical activities include visiting Delivery Stations, conducting technical deep-dives with providers, running simulations to model task feasibility, and presenting pilot business cases to leadership.
Benefits
The team prioritizes empowering employees to maintain work/life harmony.
Company context
Amazon began operations in 1995 and positions itself as a customer-centric online retailer.
The AMZL Innovation Engineering team is diverse and collaborative, works with advanced technologies, and balances strategic business cases with evaluation of emerging physical AI platforms for last-mile logistics.
Relevant source disclaimer
The role includes shaping the future of advanced technology in AMZL and requires defining proof-of-concept requirements, designing validation criteria with cross-functional teams, and demonstrating operational, safety, and cost benefits through data.
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