AI Administrator

About the Role

Key Responsibilities

• Installs, configures, and maintains AI software and hardware systems.
• Monitors and optimizes AI system performance, including KPIs such as accuracy, processing speed, and resource utilization, for all digital channel environments.
• Ensures AI models and assistants are trained using relevant data and feedback, assessing and adjusting as required based on user experience and business needs.
• Develops and implements strategies for AI system optimization ensuring the system is performing optimally and making system adjustments as necessary.
• Maintains up-to-date AI infrastructure and tools; applies system updates and patches as needed.
• Ensures secure, efficient data collection, storage, and processing for AI model training and operations.
• Conducts regular system inspections to identify performance gaps, vulnerabilities, or opportunities for improvement.
• Implements and enforces data governance standards, including privacy, access control, and compliance with applicable policies and regulations.
• Safeguards data integrity and system security through continuous monitoring and proactive mitigation strategies.
• Provides application support to end users across all AI environments, resolving issues and providing guidance as needed.
• Leads system maintenance, software testing, and application troubleshooting, including system updates and performance monitoring.
• Assists users with system navigation and technical issues, offering training and developing training materials and documentation as required.
• Works with internal departments to gather business requirements and develop functional specifications for AI tools.
• Develops mockups, wireframes, and proposals for new machine learning initiatives, ensuring user-centric design and functionality.
• Analyzes user requests for new features or modifications, evaluating feasibility and system impact before implementation.
• Develops test plans for AI releases, AI assistants and new functionality; creates scenarios, test scripts and test cases; coordinates and/or participates in testing; analyzes the effectiveness and functionality of new programming to ensure all requirements are met; records test results; notifies programming staff of testing problems and required fixes.
• Prepares and delivers system performance and usage reports to leadership; maintains professional communication with users and stakeholders to ensure transparency and support.
• Stays current with AI and machine learning advancements, recommending strategic technology improvements.

Requirements

• 4 Year / Bachelors Degree in Management Information Systems, Information Technology, Computer Science, or closely related field.
• 3 Years of responsible experience in building, training, and deploying AI models.
• 2 Years of responsible experience in performing user support, testing, and related functions for business applications.
• 1 Year of responsible experience in administering systems in a machine learning environment.
• Proficient in AI frameworks, algorithms, and cloud-based deployment platforms.
• Skilled in data analysis, model optimization, and performance tuning.
• Ability to implement and maintain continuous integration and continuous delivery pipelines for AI development efforts.
• Strong understanding of systems analysis, business process analysis, and application testing.
• Capable of producing clear user documentation and training materials.
• Ability to troubleshoot complex technical issues, determine the cause of applications errors, and communicate solutions clearly.
• Possess strong understanding of functions, capabilities, characteristics and limitations of standard computer platforms and devices.
• Perform basic business process analyses and apply critical thinking skills to reach sound, logical conclusions regarding user needs and business requirements.
• Utilize advanced knowledge to troubleshoot, diagnose and resolve applications problems.
• Effectively apply internal and external customer service practices and processes to meet quality service standards and achieve member satisfaction.
• Learn and apply information, on a wide range of Credit Union products, services and regulatory compliance requirements, in order to assess member situations and develop solutions.
• Communicate in a professional manner and deliver information clearly and effectively.
• Use tact and diplomacy in sensitive and confidential situations.
• Possess excellent written and verbal communication skills with both technical and non-technical stakeholders.
• Understand and follow written and oral instructions.
• Ability to work independently, prioritize tasks, and manage multiple projects simultaneously.

Nice to Have

• Experience in administering systems in a machine learning environment.

Qualifications

• Bachelor's degree in relevant field.
• Experience in building, training, and deploying AI models.

Benefits & Perks

• Not explicitly specified in the description.