AI Development and Enablement Analyst

United Community Bank

. Design, build, configure, test, publish, and support approved AI agents using Bank-approved platforms and enterprise knowledge sources .

Posted 10/16/2026full-timeGreenville • South Carolina • United StatesJuniorMid-Level💰 $60,466 - $93,119 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing, building, and supporting AI agents while ensuring compliance with governance and risk management standards. Proficient in documenting requirements, performing structured testing, and utilizing enterprise platforms to enhance AI capabilities and business outcomes.

Highest-signal resume keywords

AI Agent DevelopmentMicrosoft 365 ProficiencyStructured Testing ExperienceBusiness Analysis SkillsAI Governance Familiarity

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI Agent DevelopmentPrompt EngineeringData Sensitivity ManagementKnowledge Source CurationTest Case DocumentationUser Acceptance TestingWorkflow AutomationApplication TestingLifecycle ManagementMetrics Development

Soft Skills

Strong Analytical SkillsWritten CommunicationVerbal CommunicationAttention to DetailCross-Functional Collaboration

Tools & Technologies

Microsoft CopilotPower PlatformServiceNowWrikeGitHubJiraSharePointTeamsMicrosoft Office SuiteVisio

Certifications & Qualifications

Compliance TrainingBank Secrecy Act Training

Industry Keywords

Responsible AI PracticesNIST AI Risk Management FrameworkModel Risk ManagementThird Party AI OversightDigital Transformation

Tech Stack

Tools & technologies

RPAServiceNow

About the role

Key responsibilities & impact

Design, build, configure, test, publish, and support approved AI agents using Bank-approved platforms and enterprise knowledge sources
Partner with business units to evaluate AI use cases, clarify objectives, define scope, identify users, document outputs, and establish guardrails
Develop and maintain agent instructions, prompts, knowledge source configurations, connectors, fallback responses, disclaimers, source citation requirements, and escalation instructions
Perform structured testing, including expected answer testing, source grounding validation, boundary testing, unauthorized information request testing, hallucination checks, prompt injection or misuse testing, and user acceptance testing
Review, test, and maintain AI agents or AI-enabled solutions created by other teams, citizen developers, vendors, or third parties
Maintain the enterprise inventory of AI use cases, approved tools, published agents, owners, purposes, sources, risk classifications, review dates, test results, deployment status, exceptions, and retirement status
Coordinate governance review and approval processes with Technology, Information Security, Model Risk Management, Legal, Compliance, Audit, Third Party Risk Management, and business owners
Monitor published agents by reviewing usage, feedback, failed searches, inaccurate responses, escalation activity, knowledge source freshness, access issues, and operational indicators
Create and maintain agent documentation covering purpose, scope, data sources, permissions, ownership, test evidence, change history, limitations, support procedures, and review records
Maintain AI agents by updating instructions, refreshing knowledge sources, adjusting configurations, remediating defects, retiring outdated agents, and documenting approved changes
Develop metrics, dashboards, and management reporting related to AI use cases, adoption, feedback, performance, controls, remediation, and AI maturity
Support AI awareness, training, and enablement activities
Identify opportunities to use AI to improve efficiency, knowledge retrieval, quality control, and business outcomes while maintaining human oversight
Stay current on AI platforms, agent design, governance, security, vendor capabilities, and emerging responsible-AI risks
Participate in required compliance training and perform other assigned duties

Requirements

What you’ll need

Bachelor’s degree in Information Technology, Computer Science, Data Analytics, Business Analytics, Management Information Systems, or a relevant field, or equivalent work experience preferred
2+ years of experience in technology, business analysis, data analysis, automation, software support, digital transformation, enterprise applications, or a related technology role preferred
Experience building, configuring, testing, or supporting AI agents, chatbots, virtual assistants, workflow automations, RPA solutions, or low-code/no-code applications preferred
Experience with Microsoft 365, Microsoft Copilot, Copilot Studio, Power Platform, SharePoint, Teams, ServiceNow, Wrike, GitHub, Jira, or similar enterprise platforms preferred
Experience documenting business requirements, test cases, user acceptance testing, operating procedures, inventories, dashboards, and control evidence
Strong analytical skills and ability to translate business needs into practical technology solutions and controlled AI use cases
Ability to understand AI agent behavior, knowledge source management, user permissions, data sensitivity, and operational risks associated with AI-generated outputs
Strong written and verbal communication skills
Ability to write clear instructions, prompts, test scripts, support documentation, user guidance, and executive-level summaries
Ability to perform detailed testing, identify gaps, document issues, validate remediation, and maintain repeatable evidence of agent performance and controls
Ability to manage multiple use cases and competing priorities while maintaining attention to detail, documentation quality, and governance discipline
Ability to work cross-functionally with Technology, Information Security, Risk, Compliance, Legal, Audit, Model Risk Management, Third Party Risk Management, and business stakeholders
Proficiency with Microsoft Office Suite, especially Word, Excel, PowerPoint, Teams, SharePoint, and Visio
Familiarity with AI governance, responsible AI practices, NIST AI Risk Management Framework concepts, model risk management, and third-party AI oversight
Experience with prompt engineering, retrieval-augmented generation concepts, knowledge source curation, application testing, access controls, and lifecycle management
Must be able to pass a criminal background and credit check
Must participate in required compliance training, including Bank Secrecy Act/anti-money laundering training
Position requires schedule flexibility to work evenings and weekends as needed
Position requires up to 50% travel

Benefits

Comp & perks

Up to 50% travel
Schedule flexibility to work evenings and weekends as needed
Equal opportunity employment
Reasonable accommodations for individuals with disabilities