Database Management AI Agent Specialist - SVP

Database Management AI Agent Specialist - SVP

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community, and make a real impact.

Job Overview

We are seeking a highly skilled and innovative Database GenAI & AI Specialist to join our dynamic team. The Database Management AI Agent Specialist will be responsible for designing, developing, deploying, and maintaining intelligent AI agents specifically focused on automating, optimizing, and enhancing various aspects of database management.

This role requires a deep understanding of database internals, performance tuning, security, and administration, combined with strong expertise in AI agent development, machine learning, and natural language processing. The specialist will build agents that perform proactive monitoring, automated problem resolution, performance optimization, and intelligent insights for our diverse database environments.

Responsibilities

• AI Agent Design & Development: Lead the design, development, and implementation of AI agents engineered to automate and optimize database management tasks across various database platforms (e.g., Oracle, PostgreSQL, MongoDB, SQL Server, Hadoop, Caching technologies).
• Proactive Monitoring & Anomaly Detection: Develop AI agents capable of continuous, intelligent monitoring of database performance metrics, resource utilization, and operational logs to detect anomalies and predict potential issues before they impact services.
• Automated Remediation: Design and implement agents that can automatically diagnose common database problems and execute predefined or learned remediation actions (e.g., query optimization, index creation/rebuilding, storage reallocation, connection management).
• Performance Optimization: Utilize AI/ML techniques to develop agents that analyze database workloads, identify performance bottlenecks, and recommend or automatically apply optimal configurations, query rewrites, or indexing strategies.
• Security & Compliance Agents: Build agents to enforce database security policies, monitor for unauthorized access attempts, identify vulnerabilities, and ensure compliance with regulatory standards.
• Natural Language Database Operations: Implement natural language interfaces (using NLU/NLG) within agents to allow DBAs and developers to interact with and query database status, historical performance, and receive recommendations using plain language.
• Data Lifecycle Management Automation: Develop agents to automate data archival, purging, backup, and recovery processes based on policies and learned patterns.
• Integration & Orchestration: Integrate AI agents seamlessly into existing database ecosystems, monitoring tools, ITSM platforms, and CI/CD pipelines.
• Research & Innovation: Stay abreast of the latest advancements in AI, machine learning, deep learning, and database technologies, evaluating and proposing new solutions to enhance database manageability and efficiency.
• Documentation & Knowledge Transfer: Create comprehensive documentation for AI agent functionalities, architecture, and operational procedures. Provide training and knowledge sharing to the database administration and operations teams.
• Develop proof-of-concepts and prototypes for advanced AI-driven database functionalities.
• Provide technical guidance and mentorship to junior team members on AI and database best practices.

Qualifications: Required

• 10-12 years of experience with significant exposure to both database administration/engineering and AI/ML development.
• Deep Database Expertise: Extensive hands-on experience with administration, tuning, and troubleshooting of at least two major database systems (e.g., Oracle, PostgreSQL, MongoDB, SQL Server, Hadoop, Caching technologies).
• Strong AI/ML Foundations: Proven experience in designing, training, and deploying machine learning models, particularly for anomaly detection, prediction, and optimization.
• AI Agent Development: Practical experience in building and deploying intelligent agents, automation bots, or similar AI-driven autonomous systems.
• Proficiency in programming languages such as Python (essential for AI/ML and automation), Java, or Go.
• Solid understanding of database concepts including schema design, query optimization, indexing, replication, clustering, and backup/recovery strategies.
• Experience with machine learning frameworks and relevant libraries.
• Familiarity with natural language processing (NLP) for enabling natural language interaction with systems.
• Familiarity with data streaming technologies (e.g., Kafka) and middleware technologies (Web hosting, messaging)
• Strong analytical and problem-solving skills, with the ability to diagnose complex database and system issues.
• Excellent communication skills to articulate technical concepts to both technical and non-technical stakeholders.

Bachelor's or master's degree in computer science, Database Administration, Artificial Intelligence, or a related technical discipline.