AI Solutions Engineer

Requirements:

• Bachelors or masters degree in computer science, information systems, data engineering, or equivalent experience
• 3–5 years of experience in enterprise systems integration, data engineering, or business automation, delivering production solutions
• Hands-on experience delivering at least one full ERP or finance-system implementation through cutover and hypercare, using a platform such as NetSuite, Microsoft Dynamics 365, SAP S/4HANA, or Oracle Fusion Cloud ERP
• Strong skills in Python and SQL, REST/SOAP APIs, OAuth, webhooks, and EDI (X12)
• Experience with an integration platform such as Celigo, Boomi, MuleSoft, or Azure Integration Services
• Experience with a cloud data platform such as Snowflake, BigQuery, or Microsoft Fabric, and with Power BI or Tableau
• Hands-on experience with LLM APIs such as Anthropic Claude, OpenAI, Azure OpenAI, or Google Gemini, and agent or orchestration tools such as MCP, LangChain, or LangGraph
• At least one AI workflow deployed in production, with documented accuracy and business value
• Experience with Git, CI/CD, automated testing, and cloud deployment on Azure, AWS, or Google Cloud
• Preferred: Experience in inventory-based wholesale, retail, or e-commerce
• Preferred: Working proficiency in Mandarin to collaborate with our China-based development team
• Able to communicate effectively with Finance, business owners, and engineers, and translate between business requirements and technical architecture

Responsibilities:

• Assess legacy systems and architect transitions to modern enterprise platforms; support platform selection with fit-gap analysis, API and integration reviews, and vendor demonstrations
• Build and maintain integrations between core platforms and order, inventory, WMS/3PL, EDI, marketplace, direct-to-consumer, and BI systems
• Engineer and validate data migrations by building repeatable ETL tools, enforcing data sequencing and validation, and producing Finance-approved reconciliations
• Plan and run mock conversions, system integration testing, and user acceptance testing using production-representative data
• Own technical cutover plans covering backups, data freezes, final loads, validation checkpoints, rollback criteria, and post-launch hypercare
• Manage enhancement backlogs and platform upgrades, and drive continuous improvement after go-live
• Work with business process owners to design AI-enabled workflows for extraction, classification, analysis, drafting, and exception management
• Measure workflow accuracy, run evaluations, and improve prompts, tools, and models through controlled, versioned releases
• Maintain a modular, governed AI and integration architecture, including data-access services and MCP-compatible agent interfaces
• Establish trusted data infrastructure through shared definitions, master data, lineage, and quality controls
• Apply engineering practices including code review, automated testing, least-privilege access, monitoring, alerting, and incident response

Technologies:

• AI
• API
• AWS
• Architect
• Azure
• BigQuery
• CI/CD
• Cloud
• ETL
• ERP
• Fabric
• Git
• Support
• LLM
• MCP
• MuleSoft
• OAuth
• Oracle
• Power BI
• Python
• REST
• SAP S/4HANA
• SAP
• SOAP
• SQL
• Snowflake
• Tableau
• Office 365
• Embedded

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We are E&E Co., Ltd. (dba JLA Home), a globally integrated provider of product and brand solutions in the home furnishings industry. We value authenticity, high-quality standards, and meaningful branding, and offer opportunities for professional growth and development. We are modernizing our enterprise systems and building AI-native operations to support approximately $1 billion in annual revenue. This hands-on, high-visibility AI Solutions Engineer role leads technical system modernization from legacy assessment through migration and go-live, while building practical AI-driven workflows, with a clear growth path. Pay starts at $120,000 per year. Benefits include a 401(k) and matching, dental, health, and vision insurance, life insurance, a flexible spending account, employee discounts, paid time off, and a referral program. The position is in person.

last updated 43 week of 2026