Sr. AI Process Engineer, Seller Compliance
Job ID: 3134092 | Amazon (Shanghai) International Trading Company Limited
We 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 responsibilities
Technical Development & Architecture
Design and implement scalable AI/ML solutions for Compliance use cases
Lead the development of efficient ML models and end-to-end data processing pipelines from ingestion to serving
Build robust, production‑grade AI services using Python and modern ML frameworks
Make and document sound architectural decisions, ensuring systems are scalable, secure, and cost‑effective
Establish and maintain high engineering standards, including testing, monitoring, and documentation
Engineering Leadership
Partner closely with data scientists, product managers, and operations teams to deliver end‑to‑end AI/ML solutions
Define and evolve the technical architecture for AI‑powered features and platforms
Lead code reviews, enforce best practices, and elevate engineering quality across the team
Continuously improve AI system performance, reliability, and latency through experimentation and optimization
Technical Collaboration & Operations
Work with cross‑functional partners to understand requirements, refine scope, and prioritize technical work
Provide technical guidance and mentorship to junior and mid‑level engineers
Collaborate with platform and DevOps teams to ensure smooth deployment, monitoring, and maintenance of AI systems
Implement and evolve ML Ops practices (e.g., CI/CD for models, feature stores, model monitoring, and retraining workflows)
Basic Qualifications
7+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations and analytical platforms
Bachelor's degree in Computer Science, Engineering, or a related technical field
Strong proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, or similar)
Demonstrated experience designing, implementing, and operating production AI systems at scale
Hands‑on experience with cloud platforms (preferably AWS) and associated ML services
Preferred Qualifications
Master’s degree in Computer Science, Machine Learning, or a related field
Experience with NLP, deep learning, or document understanding applications
Experience working with Compliance, risk management, or other highly regulated systems
Proven track record of leading technical teams or initiatives and mentoring engineers
Hands‑on experience with ML Ops, including model deployment, monitoring, and lifecycle management
Strong problem‑solving, analytical, and troubleshooting skills with a bias for action
Location: ES, Community of Madrid, Madrid
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