AI Integration Engineer (Java + AI)

Senior Azure Cloud & AI Engineer Master Data Management (Retail) Location: United States (Hybrid / Remote) Experience: 10 15 Years Job Level: Senior / Staff / Principal Individual Contributor Role Summary We are seeking a Senior Azure Cloud & AI Engineer to architect, build, and scale enterprise Master Data Management (MDM) platforms for a large, complex retail environment. This role will lead the design and hands on delivery of Location Master and Product Master solutions that serve as foundational systems for Stores, Supply Chain, Merchandising, and Purchasing . The role blends Azure cloud architecture, modern open source engineering, data governance, and AI driven intelligence , including human in the loop and emerging agentic AI patterns . The architect will also actively leverage AI assisted development tools such as GitHub Copilot and Cursor to accelerate delivery while maintaining enterprise standards for security, quality, and maintainability. While the immediate focus is on Location and Product Master , the platform is expected to evolve over time to support additional master data domains. The role is responsible for establishing a flexible, domain agnostic MDM foundation that enables future expansion without re architecture. Core Master Data Domains

Location Master (Initial Focus) Enterprise management of: Stores Terminal Hubs Distribution / Ship Centers Support for 400+ store attributes , owned by multiple business teams Strong requirements for: Attribute governance and validation Versioning, lineage, and lifecycle management Role based access and auditability Product Master (Initial Focus) Scalable intake of product data from 800+ vendors Normalization and validation of core product attributes Enablement for: Merchandising review and approval Purchase Order eligibility Supply chain and store execution AI Driven Product & Data Intelligence Design and implement AI driven product attribute enrichment Apply ML techniques for: Attribute inference and classification Confidence scoring with explainability Data quality and anomaly detection Build human in the loop workflows enabling Merchandising teams to: Review AI generated recommendations Approve or override attributes Gate products before downstream consumption Explore agentic AI patterns , including: Data quality monitoring agents Vendor data follow up agents Attribute drift and remediation agents Master Data Domains Future Evolution

While not required at launch, the MDM platform will be designed to naturally expand over time to support additional retail master data domains, including: Vendor / Supplier Master vendor identity, onboarding, and compliance Customer / Party Master identity resolution and cross channel alignment (as applicable) Asset & Equipment Master store and distribution center assets Workforce / Employee Master workforce reference data for store operations The architect will establish common patterns for identity management, governance, and stewardship that support incremental domain onboarding., Architecture & Technical Leadership Architect cloud native MDM platforms on Microsoft Azure Define target state architectures aligned to enterprise, security, and governance standards Drive API first, domain driven, and event driven design patterns Provide hands on technical leadership across engineering, data, and AI teams

Engineering & Platform Delivery Design and build services using: Spring Boot / Java PostgreSQL RESTful and asynchronous APIs Build intuitive, scalable user experiences using React.js Implement CI/CD, observability, reliability, and cost optimized cloud patterns

AI Assisted Engineering & Developer Productivity Build and evolve applications using AI assisted development tools , including: GitHub Copilot Cursor AI or similar AI first IDEs Apply AI tools for: Code generation and refactoring API contract creation Test automation and documentation acceleration Establish guardrails and best practices for AI augmented development to ensure: Secure, compliant, and maintainable code Alignment with enterprise architecture standards

Data, Governance & Integration Design flexible data models for high attribute retail domains Implement stewardship, approval, and audit workflows Integrate with enterprise systems using Azure API Management

Cloud & AI Ecosystem Leverage Azure services including: Azure Kubernetes Service (AKS) Azure Functions (as appropriate) Azure AI / Azure OpenAI Databricks for ML pipelines and enrichment workflows Ensure AI solutions meet enterprise standards for: Responsible AI usage Security and compliance Explainability and auditability

Experience 10 15 years of experience in software engineering, cloud, and data platforms Proven experience as a Senior / Principal Cloud or Data Architect Demonstrated success delivering enterprise scale data or MDM platforms Technical Skills

Deep expertise in Microsoft Azure Strong hands on experience with: React.js Spring Boot / Java PostgreSQL Microservices and API first architectures Practical experience with: Databricks AI/ML driven data enrichment Confidence scoring and data quality techniques AI Augmented Development Proven experience using GitHub Copilot, Cursor , or similar AI assisted development tools in production environments Strong judgment in validating and securing AI generated code Ability to use AI as a force multiplier , not a substitute, for sound engineering practices Preferred Qualifications

Retail, merchandising, supply chain, or multi vendor product ecosystems Experience modernizing or scaling MDM platforms Familiarity with agentic AI and AI copilot patterns Experience mentoring teams on responsible AI assisted development Background working in public company or regulated environments