AI Solutions Engineer

Company Overview

E&E Co., Ltd. (dba. JLA Home) is a globally integrated provider of comprehensive product and brand solutions within the home furnishings industry. Committed to authenticity, high-quality standards, and meaningful branding, the company offers extensive opportunities for professional growth and development to talented individuals seeking to expand their careers worldwide.

Role Summary

E&E Co., Ltd. is modernizing its enterprise systems and building AI-native operations to support approximately $1 billion in annual revenue. We’re looking for a hands-on AI Solutions Engineer to lead the technical delivery of system modernization — from legacy assessment through migration and go-live — and to design and deploy the AI-driven workflows embedded in how our business runs. If you thrive at the intersection of enterprise systems, data engineering, and practical AI, this is a high-visibility, high-impact role with a clear growth path.

Core Duties & Responsibilities

Enterprise Systems Modernization

• Assess legacy systems and architect the transition to modern enterprise platforms; support platform selection through fit-gap analysis, API and integration review, and vendor demonstrations
• Build and maintain integrations between core platforms and order, inventory, WMS/3PL, EDI, marketplace, D2C, and BI systems
• Engineer and validate data migration — build repeatable ETL tooling, enforce data sequencing and validation, and produce Finance-approved reconciliations
• Plan and execute mock conversions, system-integration testing, and user-acceptance testing with production-representative data
• Own the technical cutover runbook: backups, data freeze, final loads, validation checkpoints, rollback criteria, and hypercare support
• Manage the enhancement backlog, platform upgrades, and continuous improvement after go-live

AI-Native Workflows & Data

• Partner with business process owners to design AI-native workflows — embedding LLM-driven automation for extraction, classification, analysis, drafting, and exception management
• Treat every workflow as a living product: instrument accuracy, run evaluation suites, and iterate on prompts, tools, and models through versioned, controlled releases
• Maintain a modular, governed AI and integration architecture including data-access services and MCP-compatible agent interfaces
• Establish trusted data infrastructure: shared definitions, master data, lineage, and quality controls
• Apply engineering discipline: code review, automated testing, least-privilege access, monitoring, alerting, and incident response

Key Qualifications

• Bachelor’s or Master’s in Computer Science, Information Systems, Data Engineering, or equivalent experience
• 3–5 years in enterprise systems integration, data engineering, or business automation with solutions in production
• Hands-on delivery on at least one full ERP or finance-system implementation through cutover and hypercare (NetSuite, Microsoft Dynamics 365, SAP S/4HANA, or Oracle Fusion Cloud ERP)
• Strong Python and SQL; REST/SOAP APIs, OAuth, webhooks, EDI (X12)
• Integration platform experience: Celigo, Boomi, MuleSoft, or Azure Integration Services
• Cloud data platform experience: Snowflake, BigQuery, or Microsoft Fabric; Power BI or Tableau
• Hands-on with LLM APIs: Anthropic Claude, OpenAI, Azure OpenAI, or Google Gemini; agent/orchestration tooling such as MCP, LangChain, or LangGraph
• At least one AI workflow in real production use with documented accuracy and business value
• Git, CI/CD, automated testing, and cloud deployment (Azure, AWS, or Google Cloud)

Preferred

• Experience in inventory-based wholesale, retail, or e-commerce environments
• Working proficiency in Mandarin (for collaboration with our China-based development team)

The Ideal Candidate

You’ve delivered real systems in production — not just designed them. You’ve been through at least one full ERP implementation lifecycle, built integrations that run in live environments, and deployed an AI workflow with measured results you can speak to. You move comfortably between business requirements and technical architecture, and communicate just as clearly with Finance and business owners as you do with engineers.

Pay: From $120,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Employee discount
• Flexible spending account
• Health insurance
• Life insurance
• Paid time off
• Referral program
• Vision insurance

Application Question(s):

• Have you delivered hands-on technical work through a full ERP implementation or migration — including data migration, testing, and cutover? If yes, which platform and what was your specific role?
• Have you built and deployed an AI or LLM-driven workflow currently in production? If yes, briefly describe what it does and how you measure its results.
• Which integration platforms and cloud data tools have you worked with in a production environment?
• Do you now or in the future require employer sponsorship to work in the United States?

Work Location: In person