Senior Applied AI Engineer

E2open is the connected supply chain platform that enables the world’s largest companies to transform the way they make, move, and sell goods and services. We connect more than 400,000 partners as one multi-enterprise network. Powered by the network, data, and applications, our SaaS platform anticipates disruptions and opportunities to help companies improve efficiency, reduce waste, and operate sustainably. Our employees around the world are focused on delivering enduring value for our clients.

POSITION OVERVIEW 

 

The Senior Applied AI Engineer plays a key role in architecting and developing intelligent automation solutions to support our growth and enhance enterprise-wide capabilities. This role focuses on reusable GenAI-powered frameworks and agents that drive automation across data pipelines, enhance operational intelligence, and support strategic analytics and revenue-generating initiatives across business units. 

 

RESPONSIBILITIES: 

 

• Architect and implement GenAI-driven agents and automation frameworks to: 

• Generate insights from data using natural language queries and context-aware agents to support decision-making. 

• Automate root-cause detection, contextual logging, and intelligent documentation. 

• Enhance system observability and self-healing mechanisms. 

• Design and deploy AI-enabled workflows using: 

• Azure/Microsoft, Snowflake, or similar enterprise ecosystems. 

• Design automation strategies that reduce operational overhead and accelerate time-to-insight for business units. 

• Develop automation capabilities that align with existing architecture and minimize disruption. 

• Embed GenAI capabilities into reporting and analytics environments including: 

• Power BI, Qlik Sense, and Salesforce Analytics to deliver automated narratives, insight generation, and smart alerting features. 

• Translate business needs into scalable automation solutions by collaborating across data, BI, analytics, and business functions. 

• Establish reusable GenAI solution patterns, development standards, and governance models for responsible and sustainable adoption of AI technologies. 

• Continuously monitor and evaluate emerging GenAI capabilities, applying relevant advances to enterprise data and automation strategies. 

• Contribute to innovation initiatives, support ad hoc AI/automation efforts, and perform other responsibilities as needed. 

 

 

QUALIFICATIONS AND EXPERIENCE: 

 

• Bachelor’s or Master’s degree in Data Science, Computer Science, Data Engineering, Artificial Intelligence, or a related field. 

• 4-7 years of relevant experience. 

• With 1-2 years proven experience in: 

• Large Language Models (e.g., OpenAI APIs, ChatGPT, LangChain, Semantic Kernel). 

• Azure technologies including OpenAI, Functions, Logic Apps, and Data Factory. 

• Python, PowerShell, or equivalent automation scripting tools. 

• Working with SQL, relational databases, and unstructured data sources. 

• Familiarity with enterprise platforms such as MSSQL, Salesforce, NetSuite, and ETL/integration systems. 

• Experience with BI tools such as Power BI, Qlik, or Salesforce Reports. 

• Excellent interpersonal, collaboration, and problem-solving skills. 

• Knowledge of MLOps or experience in production deployment of intelligent agents is a plus. 

 

PHYSICAL REQUIREMENTS:  

 

• General office environment and responsibilities requiring: 

• Extensive use of the computer which involves viewing a