AI Engineer - China

At Kids2, we’re really good at what we do. And when we’re great at our jobs, we help parents be great at their jobs.

Parenting is demanding, and that’s where we come in. We want to reimagine how brands can make it easier for early stage parents – not by just selling them products, but by providing holistic solutions that transcend borders, categories and aisles.

No matter our title or department, at Kids2, our job is to create more tiny wins for parents, so they can create bright futures for their little ones. That’s a big task!

We’re serious about what we do, AND we love to have fun. Our team is hardworking, entrepreneurial, and passionate about helping families create millions, if not billions of tiny wins.

SUMMARY

This role focuses on designing, developing, and deploying machine learning and generative AI models that transform Kids2's enterprise data into intelligent business solutions. The engineer will build AI agents such as copilots, chatbots, and workflow assistants that integrate with existing systems like SAP S4/HANA, Workday, SharePoint, Workfront, Smartsheet, and Salsify to enhance decision-making and automation across the organization.

Key responsibilities include developing semantic models and data layers for natural language querying, partnering with data engineering teams on scalable database architectures, and translating business challenges into measurable AI-powered use cases. The role requires ongoing model monitoring, lifecycle management, and API integration with enterprise systems.

The position involves extensive collaboration with global teams in English, participating in meetings and documentation while executing AI projects defined by the company's AI task force. The ultimate goal is to support Kids2's AI-first strategy by unlocking the value of enterprise data through intelligent, automated solutions.

PRIMARY RESPONSIBILITIES AND ESSENTIAL FUNCTIONS:

• Design and develop machine learning models using enterprise data from ERP, HRIS, document management, project management, and product information management systems
• Deploy generative AI models and solutions into production environments
• Implement model monitoring, performance tracking, and retraining processes
• Manage AI model lifecycle from development through retirement
• Build conversational AI agents (copilots, chatbots, workflow assistants) for business users
• Create automated workflows that integrate AI capabilities with existing business processes
• Develop natural language interfaces for querying enterprise data and systems
• Design and maintain semantic models and data layers for AI applications
• Integrate AI solutions with enterprise systems through APIs and orchestration frameworks
• Partner with data engineering teams on scalable, secure database architectures
• Ensure data quality, governance, and privacy compliance across AI initiatives
• Translate business challenges into measurable AI-powered use cases and solutions
• Execute AI projects defined by the company's AI task force
• Analyze and optimize AI solution performance to drive business impact
• Collaborate with global stakeholders in English through meetings, documentation, and project updates

QUALIFICATIONS & EXPERIENCE

Years of Experience:

• Minimum 3+ years in AI/ML engineering roles with hands-on experience building and deploying AI agents
• 2+ years working with enterprise data integration and database architecture
• Experience with ERP, HRIS, MES, document management, or project management systems

Type of Experience Required:

Industry Background:

• Manufacturing, technology, consulting, or other data-intensive industries
• Experience with global enterprise environments and complex system integrations
• Background working with large-scale business operations and cross-functional teams

Role Experience:

• AI/ML Engineer, Data Scientist, or Software Engineer with AI focus
• Enterprise system integration specialist or business intelligence developer
• Technical roles involving API development and system orchestration
• Experience translating business requirements into technical AI solutions

Technical Experience:

• Hands-on development with Python, SQL, and ML frameworks
• Building intelligent agents, chatbots, or conversational AI interfaces
• Database architecture design and semantic model development
• API integration and enterprise system connectivity
• AI model lifecycle management and performance monitoring

• Demonstrate solid knowledge of software development and testing methodologies, including unit, integration, system, and regression testing, to ensure the reliability, quality, and maintainability of AI and software solutions

• Manage and govern DEV, UAT, and Production environments, ensuring stable, reliable, and consistent deployments through controlled release processes, environment separation, and adherence to best practices for promotion from UAT to Production

EDUCATION & SKILLS

Education:

Level Required:

• Bachelor's degree minimum; Master's degree preferred
• 3-5 years of relevant education in technical fields

Career Fields:

• Computer Science or Software Engineering
• Data Science or Data Engineering
• Artificial Intelligence or Machine Learning
• Information Systems or Management Information Systems
• Engineering disciplines (Industrial, Systems, etc.)
• Mathematics, Statistics, or Applied Analytics

Skillset and Competencies:

Technical Skills:

• Programming proficiency in Python and SQL
• Machine learning frameworks
• Database architecture and semantic model design
• API development and system integration
• Enterprise data platform experience (cloud or on-premise)
• Version control, CI/CD, and software development best practices

AI/ML Competencies:

• Model development, training, and deployment
• Natural language processing and conversational AI
• Data preprocessing and feature engineering
• Model performance monitoring and optimization
• AI governance and explainability principles

Business Competencies:

Enterprise system understanding (ERP, HRIS, project management tools)

• Business process analysis and requirements gathering
• Cross-functional collaboration and stakeholder management
• Problem-solving and analytical thinking
• Project management and delivery execution

Additional Languages:

• English: Conversational proficiency required for global team collaboration, meetings, and technical documentation
• Mandarin Chinese: Native or fluent (for local operations in Zhongshan)

CERTIFICATES, LICENSES, REGISTRATIONS

While certifications are preferred, equivalent hands-on experience and demonstrated competency may substitute for formal credentials.

COMPUTER/TECHNICAL SKILLS

This role requires strong programming skills in Python and SQL, along with proficiency in machine learning frameworks and AI model development. Candidates must have experience with database architecture design, API development, and enterprise system integration. Knowledge of cloud platforms (AWS, Azure, Google Cloud) and modern data platforms like Snowflake or Databricks is highly valued. Experience with MLOps tools for model lifecycle management and version control systems is essential. Understanding of enterprise systems architecture and integration patterns for ERP, HRIS, and project management platforms completes the technical requirements.

PHYSICAL DEMANDS

• While performing the duties of this job, the team member is regularly required to talk or hear. 
• The team member frequently is required to sit; have flexible use of hands; reach with hands and arms; and stoop, kneel, crouch, or crawl. 
• The team member is occasionally required to stand, walk, and taste or smell. 
• The team member must regularly lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 - 50 pounds. 
• Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.

WORK ENVIRONMENT

• General office environment

• This role will be required to travel to and from set locally on occasion and may be required to work on locations.

We offer competitive pay, flexible hours, and generous benefits. Plus, to keep things fun (because we are all kids at heart), we offer a host of team member activities and philanthropic efforts throughout the year and company-wide awards and recognition for a job well done!

Check out our website at www.kids2.com and our social media pages on LinkedIn, Facebook and Instagram for more information and open positions in the career section.

Drug Free Workplace M/F/D/V