At a Glance
- Tasks: Shape the future of logistics by integrating advanced AI technologies.
- Company: Join Amazon, a leader in customer-centric innovation and technology.
- Benefits: Competitive salary, diverse team culture, and opportunities for career growth.
- Other info: Collaborative environment focused on work/life balance and innovative solutions.
- Why this job: Make a real impact on last-mile logistics with cutting-edge technology.
- Qualifications: Degree in engineering or related field; experience in robotics or automation preferred.
The predicted salary is between 63000 - 77000 £ per year.
Job ID: 10486996 | DIP1 Transport Limited - K39
Amazon opened its virtual doors in 1995 and strives to be the world’s most customer-centric company, where customers can find and discover anything they might want to buy online.
Amazon Logistics (AMZL) is looking to hire an experienced, innovative, hands‑on, and customer‑obsessed Sr.
AI Integration Engineer to identify and evaluate the proper use cases for advanced technology within the AMZL roadmap.
The successful candidate will be a member of the Amazon Logistics Innovation Engineering team and will be responsible for defining where advanced systems can create the highest value in AMZL Delivery Stations, bridging the gap between emerging technologies and real operational needs.
This role requires experienced and entrepreneurial‑minded individuals with combined advanced technology, AI, process engineering, and analytical skills.
This individual will directly influence the Amazon last mile roadmap by identifying the right use cases and partnering with teams across the company to improve safety, productivity, and the associate experience in our delivery network.
- Key job 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.
- A day in the life
You will shape the future of advanced technology in AMZL.
A typical day includes visiting Delivery Stations to identify opportunities, conducting technical deep‑dives with providers, running simulations to model task feasibility, and presenting pilot business cases to leadership.
You will define proof‑of‑concept requirements, design validation criteria with cross‑functional teams, and demonstrate operational, safety, and cost benefits through data.
About the team
We are a diverse team that works collaboratively to solve customer problems with innovative solutions.
We prioritize empowering our employees to maintain work/life harmony.
The team works with advanced technologies to bring transformative capabilities into AMZL.
You will balance writing strategic business cases, evaluating emerging physical AI platforms, and understanding the interactions that will define the future of last‑mile logistics.
- Basic Qualifications
- 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
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in technical support
- Preferred Qualifications
- Experience working with or evaluating AI systems
- Experience with automation and any version control tools, or experience demonstrating software engineering skills in a previous internship, 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
Amazon is an equal opportunities employer.
We believe passionately that employing a diverse workforce is central to our success.
We make recruiting decisions based on your experience and skills.
We value your passion to discover, invent, simplify and build.
Protecting your privacy and the security of your data is a longstanding top priority for Amazon.
Please consult our Privacy Notice ( https://www. amazon. jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon. jobs/content/en/how-we-hire/accommodations for more information.
If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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Sr. Innovation Engineer, WW AMZL Innovation Engineering (Fulfillment & Operations) employer: Amazon
Amazon is an exceptional employer, offering a dynamic internship experience in the vibrant region of Yorkshire and the Humber. With a strong focus on employee growth, interns benefit from hands-on project delivery, collaboration with industry experts, and a clear pathway to graduate opportunities, all within a supportive work culture that values innovation and data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Innovation Engineer, WW AMZL Innovation Engineering (Fulfillment & Operations)
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We think you need these skills to ace Sr. Innovation Engineer, WW AMZL Innovation Engineering (Fulfillment & Operations)
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Amazon.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Amazon and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
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How to prepare for a job interview at Amazon
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Amazon uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
