Data; SQL Server DBA AI Integration Developer - Onsite, OH

Position Summary

We are seeking an exceptionally skilled Data & AI Integration Developer for a critical hybrid role at the intersection of database administration, full stack development, and artificial intelligence. This position is responsible for the full lifecycle of our data—from ensuring the performance and security of our on‑premise SQL Server environments to engineering data pipelines into Azure and GCP, and integrating that data with AI and Machine Learning services.

Interview:
Teams Onsite with the ability to work hybrid/remote based on business needs.

12/03/2025

State of Ohio

• Write unit tests and integration tests to ensure code quality and actively participate in troubleshooting, debugging, and resolving application defects.
• Contribute to our CI/CD pipelines and work with cloud platforms (especially Azure) for application deployment and monitoring.
• Install, configure, maintain, and tune MS SQL Server databases for high performance and availability.
• Design, implement, and rigorously test backup and disaster recovery (DR) plans.
• Manage all aspects of database security, user access, and data masking to meet compliance standards.
• Write, test, and optimize complex stored procedures, triggers, and functions.
• Design, build, and maintain integrations with third‑party and cloud‑native AI/ML services (e.g., Azure AI Services, Google Vertex AI).
• Develop, test, and refine prompts for generative AI and Large Language Models (LLMs) to ensure accurate, relevant, and consistent outputs for business applications.
• Collaborate with data scientists to prepare, cleanse, and structure datasets for ML model training and inference.
• Utilize Power Shell and other scripting tools to automate data preparation, model deployment pipelines, and AI service monitoring.
• Set up, manage, and monitor data pipelines between on‑premise systems and cloud platforms (Azure and GCP).
• Create and maintain detailed documentation of data flows, AI integrations, system architectures, and business logic.
• Develop test plans and perform hands‑on testing for new software features, data integrations, and AI‑driven functionalities.
• Support development teams by reviewing database interaction code (primarily .NET C#, with exposure to Java and Python).

• 3–5+ years of experience as a Microsoft SQL Server DBA and/or strong proficiency in C# and the .NET ecosystem.
• Strong proficiency in writing and optimizing complex T‑SQL and stored procedures.
• Proven experience developing Power Shell scripts for automation.
• Hands‑on experience integrating with AI/ML platforms (e.g., Azure AI, Google Vertex AI).
• Demonstrable experience with prompt engineering for generative AI models.
• Solid understanding of machine learning concepts and data preparation techniques.
• Experience setting up and managing data integrations with Azure and/or GCP.
• Experience with software testing, data validation, and creating technical documentation.

• Familiarity with ML libraries and frameworks (e.g., scikit‑learn, Tensor Flow, PyTorch).
• Working knowledge of Python or Java.
• Experience with SQL Server High‑Availability (HA) solutions (e.g., Always On).
• Experience with SQL Server Integration Services (SSIS) or Azure Data Factory.
• Microsoft, Azure, or Google Cloud certifications.
• Bachelor's degree in Computer Science, Data Science, or equivalent experience.

Mid‑Senior level

Full‑time

Information Technology