About the role

If you are a passionate database engineer who would love to 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 then we have a perfect role for you and we would like to have a discussion with you.
Essential Duties & 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
  • Design and implement NL2SQL pipelines to enable natural language querying of enterprise databases
  • 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 75% Oracle and 25% operational work in Microsoft SQL Server
  • 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
  • Education / Experience / Certification
  • EducationBachelor's degree in computer science or related field (required)
  • Master's degree in computer science, Data Science, or AI/ML (preferred)
  • Experience 10+ years of experience as a Database Developer/DBA in a fast-paced agile environment 7+ years as an Oracle Developer/DBA with expert-level PL/SQL and SQL skills 2+ years of hands-on experience with Generative AI, LLMs, or ML pipelines in a production environment (preferred)
  • Deep expertise in database internals, expert-level PL/SQL, SQL, and Python/Shell programming
Certifications:
  • (Highly Preferred)
  • Oracle Certified Professional (OCP) (huge plus)AWS Certified Machine Learning Specialty (plus)
  • Technical Skills
  • RequiredDatabases: Oracle, PL/SQL, SQL, Microsoft SQL Server
  • Programming: Python, Shell scripting
  • DevOps: Git, Jenkins, Ansible, Artifactory
  • Cloud: AWSOS: Linux/RedHatOracle Features: VPD, Partitioning, Expert-level Performance Tuning, JSON data in databasesAI/ML: Prompt Engineering, NL2SQL, Text-to-SQL systems
  • PreferredDatabases: RDS Oracle, RDS PostgreSQLAI/ML Frameworks: LangChain, LlamaIndex, RAG pipelines
  • Vector Search: pgvector, Oracle AI Vector SearchLLM Platforms: OpenAI API, Azure OpenAI, AWS Bedrock
  • Programming: Java, Hibernate
  • DevOps: Bitbucket, CI/CD for AI model deployment
  • Cloud AI Services: AWS SageMaker, Azure MLOracle Advanced Features: Golden Gate, Cloud Control, Golden Gate BDA
Required Skills: Basic Qualification :Additional Skills :Background Check : YesDrug Screen : NoNotes :Selling points for candidate :Project Verification Info :Exclusive to Client :NoFace to face interview required :YesCandidate must be local :NoCandidate must be authorized to work without sponsorship :YesInterview times set : :NoType of project :Master Job Title :Branch Code :

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JOB OVERVIEW

Experience level

Lead

Location

Boonton, NJ

Occupation

Database Architects

Industry

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