Senior Database Engineer

JOB SUMMARY: Database engineer who will sit at the intersection of traditional enterprise database engineering and the emerging Gen AI revolution — building next-generation, AI-powered data solutions that transform how tens of thousands of users interact with the largest Human Capital Management system.

Key Responsibilities: Core Database Engineering Design and build scalable database services and solutions to complex business problems Debug critical database issues and provide root-cause analysis with long-term solutions Research, Design, Develop, and/or modify applications using SQL, PL/SQL, Python, and AI-assisted development tools Prototype solutions and recommend adoption of new technologies including Generative AI and LLM-powered database tooling Development and Deployment of application database changes/releases across production and non-production environments Build and maintain LLM-powered database assistants using frameworks such as LangChain, LlamaIndex, or similar Develop Retrieval-Augmented Generation (RAG) solutions using structured/unstructured data from Oracle and PostgreSQL databases Integrate AI-powered query optimization tools to enhance database performance tuning workflows Leverage GitHub Copilot, Amazon Q, or similar AI coding assistants to accelerate PL/SQL and Python development Build vector database integrations (pgvector, Oracle AI Vector Search) for semantic search capabilities Evaluate and adopt AI/ML model serving patterns (batch vs. real-time inference) for database-adjacent workloads Drive prompt engineering best practices for database-related AI applications Quality & Leadership Self-reliant, hands-on technical leader driving code quality, AI governance, and database AI practices Collaborate with database peers, product owners, UX/UI, and globally distributed teams on AI-enhanced database solutions Define engineering best practices including AI-assisted Test-Driven Development (TDD) and automated unit testing for database development Mentor teams on AI tool adoption, prompt engineering, and AI use in data engineering Develop specifications for new database services incorporating AI-native design patterns Meet deadlines and manage multiple, dynamic priorities in an agile environment

Preferred Qualifications: Education / Experience / Certification Master's degree in computer science, Data Science, or AI/ML (preferred)2+ years of hands-on experience with Generative AI, LLMs, or ML pipelines in a production environment (preferred) Technical Skills Preferred Databases: RDS Oracle, RDS PostgreSQLAI/ML: LangChain, LlamaIndex, RAG pipelines, Vector stores(pgVector)LLM Platforms: OpenAI API, Azure OpenAI, AWS Bedrock DevOps: Bitbucket, CI/CD for AI model deployment Cloud AI Services: AWS SageMaker, Azure MLOracle Advanced Features: Golden Gate, Cloud Control, Golden Gate BDACertificationsOracle Certified Professional (OCP) (huge plus)AWS Certified Machine Learning Specialty (plus)