AI Database Developer

Job Type: Full TimeLocation: Rockville, MDTravel: Possibly across US**
Job Type:** Full TimeRequired Clearance: Ability to obtain Public TrustRequired Education: Bachelor’s Degree in IT, Computer Science, or a related field is preferredRequired Experience: 10 years of relevant experience Degrees may be substituted for years of experience: 8 years of experience  

Description

PingWind is seeking a meticulous and detail-oriented Sr. AI Database Developer with a strong emphasis on Artificial Intelligence and Machine Learning to join the PingWind team supporting Agency for Healthcare Research and Quality’s (AHRQ) Artificial Intelligence / Machine Learning strategy in Rockville, MD. As a Sr. AI Database Developer, you will play a critical role in ensuring the quality and reliability of AHRQ applications and products. Your responsibilities will include developing database code, identifying and documenting defects, and collaborating with cross-functional teams to deliver high-quality software to our stakeholders and users.

Responsibilities

•    Design, develop, and maintain databases and database code
•    Write and optimize complex SQL queries, stored procedures, and functions.
•    Ensure database performance, security, and data integrity
•    Develop and maintain ETL (Extract, Transform, Load) processes for data migration and integration
•    Implement the AHRQ Artificial Intelligence strategy
•    Work closely with software developers and analysts to support application database needs
•    Troubleshoot database issues and optimize performance using indexing and query tuning
•    Implement backup, recovery, and disaster recovery strategies
•    Monitor database health, resource utilization, and optimize database configurations
•    Stay updated with emerging database technologies and best practices
•    Collaborate with cross-functional teams to ensure timely and quality software releases

Required Qualifications

•    Bachelor’s Degree in IT, Computer Science, or a related field
•    10 years of relevant experience 
•    Artificial intelligence and machine learning engineering
•    Generative AI and large language models
•    AI solution architecture and systems engineering
•    AI/ML prototyping, testing, evaluation, performance assessment, and monitoring
•    Integration and deployment of AI/ML capabilities within approved cloud, application, and infrastructure environments •    Responsible AI, information security, privacy, documentation, and technical risk management