**DESCRIPTION** The Intelligence Solution Engineer – Quality plays a critical role in developing and deploying intelligent, multimodal, and agentic AI solutions that automate document understanding, contextual reasoning, and human-in-loop validation through interactive applications. **Key Responsibilities** + Integrate AI-driven pipelines with existing enterprise data ecosystems such as data warehouses, data lakes, and graph databases. + Implement solutions leveraging frameworks like LangChain, LangGraph, and Databricks for scalable AI deployment. + Design and maintain vector embedding databases, RAG (Retrieval Augmented Generation), and semantic retrieval systems for high-quality contextual understanding. + Apply graph-based reasoning using Neo4j to enable contextual intelligence and knowledge discovery. + Develop and optimize AI-driven applications using Python and Streamlit, ensuring seamless user interaction and robust functionality. + Design and implement AI workflows leveraging Databricks ML and MLOps. + Collaborate with stakeholders to build AI solutions, reducing redundancy and promoting standardization. **RESPONSIBILITIES** **Experience:** + 3–6 years of experience in **Agentic AI solution engineering** or intelligent systems development. + Proven experience with **LangChain** , **LangGraph** , or equivalent agentic AI frameworks. + Hands-on experience with **Databricks** , including Databricks ML and MLOps workflows. + Strong expertise in **Python** and **Streamlit** for building interactive and intelligent applications. + Experience integrating **multimodal AI models** and designing **vector-based retrieval** or **RAG systems** . + Solid understanding of **Neo4j** or similar graph databases for context graph reasoning. + Strong communication and collaboration skills for working with global, cross-functional teams. **Core Competencies:** + **Collaborates:** Builds partnerships and works collaboratively with others to meet shared objectives. + **Communicates Effectively:** Develops and delivers multi-mode communications tailored to diverse audiences. + **Customer Focus:** Builds strong customer relationships and delivers customer-centric solutions. + **Interpersonal Savvy:** Relates openly and comfortably with diverse groups of people. + **Data Analytics:** Interprets and communicates complex data insights that drive business decisions. + **Data Mining:** Extracts insights using advanced data exploration and visualization techniques. + **Data Modeling:** Creates and validates data models using modern standards, ensuring compliance and accuracy. + **Data Communication & Visualization:** Tells compelling data stories through visualizations and dashboards. + **Data Literacy:** Understands and communicates data sources, methods, and applied techniques effectively. + **Data Profiling & Quality:** Identifies and corrects data flaws, ensuring high-quality and reliable information. + **Values Differences:** Recognizes and leverages the value that diverse perspectives and cultures bring. **Additional Information:** + This position may require licensing or clearance for compliance with export control or sanctions regulations. + Candidates must demonstrate both technical excellence and an applied understanding of AI-driven quality analytics. **QUALIFICATIONS** **Qualifications, Skills, and Experience:** **Education:** + Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related technical field. + Equivalent experience may be considered. + Please note that this is onsite with flexibility role **Job** Quality **Organization** Cummins Inc. **Role Category** Off-site Remote **Job Type** Exempt - Experienced **ReqID** 2421965 **Relocation Package** No **100% On-Site** No