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# Enterprise Applications & Automation EngineerJob

- **Company:** CareerCircle
- **Location:** Ronkonkoma, NY, United States
- **Experience:** Experienced
- **Salary:** $130,000.0 - $145,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Microsoft Excel, Application Programming Interfaces (APIs), Artificial Intelligence, Systems Engineering, Microsoft Azure, Business Software, Microsoft Outlook, Business Systems, Encodings, Information Systems, Computer Programming, Databases, Computer Literacy, Customer Data Management, Data Architecture, Data Governance, Database Queries, Middleware, Python (Programming Language), Microsoft Dynamics, Microsoft Office, Language Modeling, Operational Data Store, Software Tools, Simple Object Access Protocol (SOAP), SQL Databases, Data Streaming, Systems Integration, TypeScript, Enterprise Data Management, Enterprise Application Integration, Synapse Citrix, Enterprise Software Applications, Data Classification, Chatbots, Microsoft Power Automate, Prompt Engineering, Model Validation, Generative AI, Build Management, Data Lakes, Information Technology, Microsoft Dynamics 365 Finance & Operations, Enterprise Integration, Data Management, Tools for Reporting, Virtual Agents, Api Design, Webhooks, GPT, Data Pipelines, Automation Anywhere
- **Published:** September 4, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/ny/ronkonkoma/f08ac8c6-8364-482f-ba52-d70af76c3bab

## About the Role

* 2-3+ years of hands-on, daily use of AI tools such as Claude, Microsoft Copilot, ChatGPT, Gemini, or similar platforms to build production solutions, including coding, automation, agent development, or enterprise workflow design.
 * Minimum 3 years of experience working with enterprise business applications in any capacity (functional, techno-functional, development, or solution architecture) across ERP, CRM, or integrated business systems.
 * Experience building AI-powered automations that integrate with systems of record such as ERP, CRM, databases, and APIs, beyond standalone chatbots or demos.
 * Proficient in generative AI and large language model ecosystems, including Claude, Microsoft Copilot, OpenAI GPT, and Google Gemini, with hands-on experience in prompt engineering, AI agent development, model selection and evaluation, and embedding AI capabilities into enterprise workflows.
 * Programming proficiency in Python and/or JavaScript/TypeScript, with the ability to build integrations, scripts, data pipelines, and API connections.
 * Strong SQL skills, including writing queries across multiple database backends and tracing data across interconnected systems.
 * Experience with enterprise integration patterns, API design (REST/SOAP), webhooks, and middleware or iPaaS platforms.
 * Ability to build workflow automations using platforms such as Microsoft Power Automate, Copilot Studio, AI Builder, or similar tools.
 * Understanding of AI governance principles, including data classification, human-in-the-loop design, verification standards, and responsible AI use.
 * Proven ability to learn new enterprise platforms quickly using AI tools and technical documentation., * Bachelor's degree in Information Systems, Computer Science, Business Administration, or a related field.
 * Enterprise system, AI, or cloud certifications are a plus.
 * Experience working with Microsoft Dynamics 365 Finance & Operations or similar ERP systems is beneficial but not required.
 * Experience with Dynamics 365 Customer Engagement or comparable CRM platforms is an advantage.
 * Background in distribution, warehousing, manufacturing, or service environments is a plus.
 * Familiarity with Azure cloud services such as Synapse and Data Lake is helpful.
 * Experience with business intelligence platforms and data architecture, including master data governance and data quality frameworks.
 * Ability to create clear technical documentation, solution blueprints, and implementation roadmaps for cross-functional teams.
 * Strong communication and collaboration skills, with the ability to work closely with finance, operations, supply chain, customer service, and IT stakeholders.
 * Comfort working in environments that emphasize continuous improvement, innovation, and pragmatic adoption of emerging AI tools.

## Description

Finance, ChatGPT
Chatbot
Planning
Equities
Webhooks
AI Agents
Claude AI
Operations
Automation
Governance
TypeScript
Innovation
Purchasing
Accounting
Data Lakes
Middleware
API Design
Warehousing
Scalability
Procurement
Cancer Care
Supply Chain
Data Quality
Communication
Investigation
Collaboration
Google Gemini
General Ledger
Quick Learning
Data Pipelines
Synapse Citrix
Responsible AI
Microsoft Azure
Data Governance
Customer Service
Business Process
Computer Science
Accounts Payable
Business Systems
Data Consistency
System Integrity
Technical Support
Data Architecture
Microsoft Copilot
Business Valuation
Prompt Engineering
Workflow Management
Customer Engagement
Systems Engineering
Accounts Receivable
Information Systems
Design Verification
Workflow Automation
Data Classification
Reporting Solutions
Inventory Management
Warehouse Management
Financial Statements
Warehouse Operations
Azure Cloud Services
Technology Ecosystems
Business Requirements
Solution Architecture
Business Intelligence
Operational Efficiency
Operational Data Store
Microsoft Dynamics 365
Intelligent Automation
Enterprise Integration
Business Administration
Artificial Intelligence
Technical Documentation
Large Language Modeling
Customer Data Management
Microsoft Power Automate
Microsoft Power Platform
Microsoft Copilot Studio
SQL (Programming Language)
Business Process Automation
Standard Operating Procedure
Enterprise Resource Planning
Employee Assistance Programs
Integrated Business Planning
Python (Programming Language)
Continuous Improvement Process
Enterprise Application Software
Customer Relationship Management
JavaScript (Programming Language)
Generative Artificial Intelligence
Operational Performance Management
Business Intelligence System (BIS)
Artificial Intelligence Infrastructure
Application Programming Interface (API)
Integration Platform As A Service (IPaaS), The Enterprise Applications & Automation Engineer designs and delivers AI-powered solutions across the enterprise technology ecosystem while providing functional and technical support for core business systems. This AI-first role focuses on using modern AI tools as a force multiplier to accelerate data migrations, system investigations, and process automation across financial operations, warehouse management, supply chain, customer engagement, and system integrations. The ideal candidate has been building with AI tools daily for the past two to three years, can quickly learn new enterprise platforms, and understands how business processes flow through systems of record such as ERP and CRM systems.
Responsibilities

 * Design and build AI-powered agents and workflows that automate business processes across Finance, Sales, Customer Experience, Supply Chain, Warehouse, Quality, and other departments.
 * Develop production-ready AI solutions using platforms such as Claude (API, SDK), Microsoft Copilot, Copilot Studio, AI Builder, and other AI tools as business needs evolve.
 * Build integrations between AI systems and enterprise applications, connecting intelligent automation to the data and processes in ERP, CRM, and other systems of record.
 * Design AI workflows with human-in-the-loop architectures for sensitive financial and operational data, ensuring AI provides recommendations while humans make final decisions.
 * Create data pipelines that feed AI systems with clean, structured enterprise data, addressing data quality issues as a prerequisite for effective automation.
 * Design end-to-end business solutions spanning multiple enterprise systems, including ERP, CRM, warehouse management, and business intelligence platforms.
 * Develop technical architecture documentation, solution blueprints, and integration patterns to meet complex business requirements across diverse technology platforms.
 * Create comprehensive solution designs that leverage existing enterprise systems to maximize business value and operational efficiency while planning for future technology evolution.
 * Support and optimize enterprise financial modules including General Ledger, Accounts Payable, Accounts Receivable, Financial Reporting, and Cost Accounting.
 * Design and optimize warehouse management, inventory, shipping, and supply chain processes within the ERP system.
 * Architect integrations and reporting solutions that provide visibility into financial and operational performance across business units.
 * Design cross-platform integration architectures spanning ERP, CRM, e-commerce, warehouse management, and business intelligence systems to ensure seamless data flow.
 * Architect and optimize system integrations between enterprise systems and external platforms including e-commerce, shipping/TMS, financial institutions, and third-party applications.
 * Implement enterprise integration patterns, API design best practices, and middleware or iPaaS solutions to ensure scalable and maintainable integration architectures.
 * Ensure master data consistency across the enterprise ecosystem, including customer data, product information, financial dimensions, and vendor records.
 * Develop and enforce data governance practices spanning financial, operational, inventory, and customer data to support accurate processing across all integrated systems.
 * Design data quality frameworks and coordinate cross-functional teams to implement changes without disrupting business operations.
 * Evaluate AI tools on a continuous basis and recommend platform decisions and standards to leadership.
 * Develop and maintain AI governance policies including data classification, approved tools, usage standard operating procedures, and verification standards for responsible AI use.
 * Train and enable end users across departments to effectively use AI tools in their daily workflows.
 * Provide functional support for enterprise system users across finance, warehousing, inventory management, sales, customer service, and supply chain.
 * Investigate and resolve complex multi-system issues, diagnosing root causes and architecting sustainable solutions.
 * Oversee environment administration, system updates, patches, releases, deployments, and data migrations while maintaining system integrity and minimizing business disruption.
 * Collaborate with finance, warehouse operations, supply chain, customer service, and IT teams to understand business processes and requirements.
 * Translate complex business requirements into clear technical specifications, solution architecture documents, and implementation roadmaps.
 * Develop documentation and deliver training for end users on new functionalities, AI tools, and integrated process improvements., Finance
Data Entry
Accounting
Procurement
Real Estate
Coordinating
Supply Chain
Communication
Team Oriented
Detail Oriented
Professionalism
Microsoft Excel
Problem Solving
Lease Contracts
Customer Service
Microsoft Office
Rapport Building
Computer Literacy
Sales Prospecting
Microsoft Outlook
Property Management
Artificial Intelligence
Administrative Functions
Property Management Systems
Interpersonal Communications
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