Sr. AI Process Engineer, Seller Compliance

Sr. AI Process Engineer, Seller ComplianceJob ID: | Amazon (Shanghai) International Trading Company LimitedWe are seeking a highly technical Senior Process Engineer to lead AI‑driven engineering initiatives in the Compliance domain. This senior role focuses on designing, building, and operating AI‑powered solutions that improve Seller compliance outcomes and significantly enhance operational efficiency.The ideal candidate brings deep hands‑on expertise in AI/ML development, with a strong track record of building, deploying, and scaling production‑grade AI systems. You will design system architectures, build efficient ML models and data pipelines, and drive technical collaboration across engineering, science, and product teams.You are passionate about writing high‑quality code, making sound architectural decisions, and ensuring that AI systems are robust, maintainable, and secure. You excel at translating business requirements into scalable solutions, mentoring engineers, and driving technical excellence in a fast‑paced environment. Experience with Python, cloud platforms (e.g., AWS), and ML operations is essential; familiarity with compliance or regulatory domains is preferred. This role offers the opportunity to shape the future of Compliance via innovative AI engineering solutions.Key job responsibilitiesTechnical Development & ArchitectureDesign and implement scalable AI/ML solutions for Compliance use casesLead the development of efficient ML models and end‑to‑end data processing pipelines from ingestion to servingBuild robust production‑grade AI services using Python and modern ML frameworksMake and document sound architectural decisions, ensuring systems are scalable, secure, and cost‑effectiveEstablish and maintain high engineering standards, including testing, monitoring, and documentationEngineering LeadershipPartner closely with data scientists, product managers, and operations teams to deliver end‑to‑end AI/ML solutionsDefine and evolve the technical architecture for AI‑powered features and platformsLead code reviews, enforce best practices, and elevate engineering quality across the teamContinuously improve AI system performance, reliability, and latency through experimentation and optimizationTechnical Collaboration & OperationsWork with cross‑functional partners to understand requirements, refine scope, and prioritize technical workProvide technical guidance and mentorship to junior and mid‑level engineersCollaborate with platform and DevOps teams to ensure smooth deployment, monitoring, and maintenance of AI systemsImplement and evolve ML Ops practices (e.g., CI/CD for models, feature stores, model monitoring, and retraining workflows)Basic Qualifications7+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, database, and/or storage experienceKnowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations and analytical platformsBachelor's degree in Computer Science, Engineering, or a related technical fieldStrong proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, or similar)Demonstrated experience designing, implementing, and operating production AI systems at scaleHands‑on experience with cloud platforms (preferably AWS) and associated ML servicesPreferred QualificationsMaster's degree in Computer Science, Machine Learning, or a related fieldExperience with NLP, deep learning, or document understanding applicationsExperience working with Compliance, risk management, or other highly regulated systemsProven track record of leading technical teams or initiatives and mentoring engineersHands‑on experience with ML Ops, including model deployment, monitoring, and lifecycle managementStrong problem‑solving, analytical, and troubleshooting skills with a bias for actionOur 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.Posted: December 1, 2025 (Updated 14 days ago)#J-18808-Ljbffr