Data Solutions AI Application Developer III

CareSource-posted 2 days ago

Full-time • Mid Level

Dayton, OH

1,001-5,000 employees

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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.

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.

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
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

Healthcare industry experience preferred
Experience leading development efforts preferred
Experience building solutions in multi-tier or service-based architectures preferred

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