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# AI Solutions Developer

- **Company:** Stepan Company
- **Location:** Northbrook, IL, United States
- **Experience:** Expert
- **Salary:** $148,500.0 - $230,300.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Microsoft Windows, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Microsoft Online Services, C Sharp (Programming Language), Cloud Engineering, Computer Programming, Information Engineering, Data Hub, Data Integration, Data Warehousing, DevOps, Python (Programming Language), OpenAI, Microsoft Copilot, Azure Machine Learning, SAP (Applications), Search Technologies, Software Engineering, Systems Integration, Web Services, Enterprise Data Management, Data Logging, Enterprise Software Applications, Microsoft Power Automate, LangChain, Retrieval-Augmented Generation, Large Language Models, Snowflake, Multi-Agent Systems, Prompt Engineering, Llamaindex, Agentic-AI, Git, Build Management, Microsoft Fabric, Microsoft Copilot Studio, AI Platforms, Kubernetes, Data Management, Virtual Agents, Azure AI, Model Context Protocol, GPT, Software Version Control, Powerapps, Databricks
- **Published:** November 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=aba30659acb92f55

## About the Role

* 5+ years of experience in software development, automation, or enterprise solution engineering
 * Hands-on experience building AI or automation solutions in production environments
 * Strong programming experience (Python preferred; additional languages such as C#, JavaScript, or similar are a plus)
 * Experience integrating with APIs, web services, and enterprise systems
 * Experience working with LLMs (OpenAI, Azure OpenAI, etc.), including prompt design and system integration
 * Proven ability to design and deliver scalable, enterprise-grade solutions end-to-end
 * Experience with version control (Git) and modern DevOps practices

Preferred Qualifications

 * Experience with Microsoft ecosystem: Copilot Studio, Power Platform (Power Apps, Power Automate, Dataverse), Azure AI / Azure ML OR equivalent experience with:LLM frameworks (LangChain, LlamaIndex, etc.)
Cloud AI platforms (AWS, GCP) Agent orchestration frameworks

 * Experience with Agentic AI / multi-agent systems, Model Context Protocol (MCP) or similar tool integration approaches
 * RAG architectures and vector databases
 * Data engineering platforms (Microsoft Fabric, Databricks, Snowflake, etc.)
 * Familiarity with enterprise environments (ERP systems like SAP, data integration, governance frameworks), Bachelors Degree required

## Description

Stepan Company is building an enterprise-wide AI capability through its RISE (Results-Driven Intelligence for Stepan Excellence) program - focused on delivering real business value through automation, AI, and intelligent agents. We are seeking a Senior AI Solutions Developer to design, build, and deploy enterprise-grade AI solutions. This is a hands-on, senior engineering role responsible for end-to-end solution delivery, from ideation through production and adoption. While our primary ecosystem is Microsoft (Copilot, Power Platform, Azure), we are looking for a well-rounded AI engineer who can apply the best tools and frameworks for the problem-including modern LLM frameworks, agent orchestration platforms, and cloud-native architectures., * Design and build AI solutions

 * Develop scalable AI-powered applications, copilots, and autonomous agents that solve real business problems across functions
 * Agentic AI and automation
 * Design and implement multi-step, agent-driven workflows that leverage LLMs, APIs, enterprise data, and orchestration frameworks to execute business processes end-to-end
 * Modern AI roles increasingly focus on orchestrating agents that plan, reason, and act using external tools and systems. [index.dev]
 * Platform Development (Microsoft + Beyond)

Build solutions using platforms such as:

 * Microsoft Copilot Studio, Power Platform, Azure AI OR equivalent tools (LangChain, LlamaIndex, OpenAI APIs, AWS/GCP AI services, etc.)
 * Integrate AI solutions with enterprise systems (SAP, data platforms, APIs, data warehouses, Microsoft 365, etc.) using modern integration patterns and protocols.
 * Implement RAG (Retrieval-Augmented Generation), vector search, and knowledge grounding strategies for enterprise data sources
 * Full lifecycle delivery

Own delivery across:

 * Requirements gathering
 * Architecture and design
 * Development and testing
 * Deployment and production support
 * Governance, Security, and Quality

Ensure solutions align with enterprise standards for:

 * Security and data privacy
 * Responsible AI
 * Observability, logging, and monitoring
 * Stakeholder engagement and adoption
 * Partner with business stakeholders to identify use cases, prototype solutions, and drive adoption through training and enablement