• Design, configure, test, and deploy AI-enablement applications using low-code/no-code platforms. • Develop intuitive user interfaces that expose AI capabilities—including generative, agentic, and NLP-based intelligence—to business and operational teams. • Translate model outputs into business workflows, integrating with existing platforms and use cases. • Collaborate with data engineers and data scientists to transition solutions from analytical environments (e.g., Databricks) into production. • Develop Python and SQL logic to support automation, orchestration, and system integration where low-code tools are insufficient. • Conduct application performance testing and troubleshooting efforts to enhance reliability. • Ensure application solutions meet usability, accessibility, compliance, and performance standards. • Develop within Agile and iterative methodologies with rapid prototyping and feedback incorporation. • Support deployment activities and incident management as needed. • Work across IT, platform architecture, and analytics teams to ensure smooth production deployment. • Perform any other job related duties as requested.