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Job Summary: The Data Solutions AI Application Developer III is responsible for designing and rapidly deploying lightweight applications and user interfaces to operationalize advanced AI solutions, including generative AI (LLM-based), agentic AI, and NLP-driven capabilities-across the enterprise. The role emphasizes the use of low-code and platform-native development tools (such as Databricks Apps, Microsoft Power Apps/Copilot Studio, UIPath, etc.) as the primary means of accelerating AI adoption within business workflows. This role acts as a critical bridge between analytics and operational execution, transforming AI models into scalable, user-friendly business applications. Essential Functions: 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. Education and Experience: Bachelor's Computer Science, Software Engineering required Equivalent years of relevant work experience may be accepted in lieu of required education Five (5) years application development experience using OOP concepts or platform-based development required Two (2) years deploying applications using cloud services (Azure, AWS, or GCP) and modern data platforms (e.g., Databricks or Snowflake) required Healthcare industry experience preferred Experience leading development efforts preferred Experience building solutions in multi-tier or service-based architectures preferred Competencies, Knowledge and Skills: Strong proficiency in Python and SQL to support AI integration, backend logic, and automation; ability to extend low-code solutions with code when necessary Proficiency with low-code/no-code platforms, such as Databricks Apps, Microsoft Power Apps/Copilot Studio or similar low-code technologies Familiarity with Python UI frameworks, such as Streamlit, Flask, FastAPI, or Django, for custom enhancements when required Understanding of advanced AI technologies, including: Generative AI (LLM-based), Agentic AI and orchestration frameworks, and Natural Language Processing (NLP) Knowledge of UI/UX best practices and accessibility standards Familiarity with SDLC, CI/CD pipelines, and configuration management Expertise in application troubleshooting and optimization Proficiency in Agile, iterative, and/or test-driven development environments Strong analytical, communication, and problem-solving abilities Self-directed, innovative, detail-oriented, and adaptable to evolving AI technologies Licensure and Certification: Working Conditions: General office environment; may be required to sit or stand for extended periods of time Up to 15% (occasional) travel to attend meetings, trainings, and conferences may be required Compensation Range: $92,300.00 - $161,600.00 CareSource takes into consideration a combination of a candidate's education, training, and experience as well a