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United Community

Offers banking, wealth management, mortgages

AI Development and Enablement Analyst

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeGreenville, SC, USA$60.5k - $93.1k /yr

About the Job

Requirements

  • A bachelor's degree in Information Technology, Computer Science, Data Analytics, Business Analytics, Management Information Systems, or a relevant field, or equivalent work experience is preferred.
  • Two or more years of experience in technology, business analysis, data analysis, automation, software support, digital transformation, enterprise applications, or a related technology role is preferred.
  • Experience building, configuring, testing, or supporting AI agents, chatbots, virtual assistants, workflow automations, robotic process automation solutions, or low-code/no-code applications is preferred.
  • Experience with Microsoft 365, Microsoft Copilot, Copilot Studio, Power Platform, SharePoint, Teams, ServiceNow, Wrike, GitHub, Jira, or similar enterprise platforms is preferred.
  • Experience documenting business requirements, test cases, user acceptance testing, operating procedures, inventories, dashboards, and control evidence.
  • Banking, financial services, risk management, compliance, audit, information security, or third-party vendor governance experience is a plus.
  • Strong analytical skills 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 to communicate effectively with technical teams, nontechnical business users, risk partners, and executives.
  • 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.
  • Ability to pass a criminal background and credit check.
  • Schedule flexibility to work evenings and weekends as needed.

Responsibilities

  • Design, build, configure, test, publish, and support approved AI agents using Bank-approved platforms such as Microsoft Copilot Studio, Microsoft 365 Copilot, enterprise knowledge sources, workflow automation tools, and other approved AI capabilities.
  • Partner with business units to evaluate AI use case requests, clarify business objectives, define scope, identify intended users, document expected outputs, and establish appropriate guardrails before development or deployment.
  • Develop and maintain agent instructions, prompts, knowledge source configurations, connectors, fallback responses, disclaimers, source citation requirements, and escalation instructions to support accurate and reliable responses.
  • Perform structured testing of AI agents before release, 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 Bank teams, citizen developers, vendors, or third parties to ensure alignment with Bank standards, approval conditions, access controls, and lifecycle requirements.
  • Maintain the enterprise inventory of AI use cases, approved tools, published agents, agent owners, business purposes, knowledge sources, risk classifications, review dates, test results, deployment status, exceptions, and retirement status.
  • Coordinate with the Application and Architecture Review Board, Technology Steering Committee, Information Security, Model Risk Management, Legal, Compliance, Audit, Third Party Risk Management, and business owners to support governance review and approval processes.
  • Monitor published agents after release by reviewing usage, user feedback, failed searches, inaccurate responses, escalation activity, knowledge source freshness, access issues, and other operational indicators.
  • Create and maintain documentation for each published agent, including purpose, scope, data sources, permissions, ownership, test evidence, change history, known limitations, support procedures, and periodic review records.
  • Support ongoing maintenance of AI agents by updating instructions, refreshing knowledge sources, adjusting configurations, remediating defects, retiring outdated agents, and ensuring changes are documented and approved as required.
  • Develop metrics, dashboards, and management reporting related to AI use cases, agent adoption, user feedback, operational performance, control effectiveness, issue remediation, and AI maturity progress.
  • Assist with AI awareness, training, and enablement activities by helping users understand appropriate AI use, effective prompt practices, agent limitations, responsible use requirements, and procedures for requesting new AI capabilities.
  • Identify opportunities to use AI to improve efficiency, reduce repetitive work, improve knowledge retrieval, strengthen quality control, and support measurable business outcomes while maintaining appropriate human oversight and accountability.
  • Stay current on AI platforms, agent design practices, governance expectations, security considerations, vendor capabilities, and emerging risks relevant to responsible AI use in banking.
  • Participate in all required compliance training, including Bank Secrecy Act/anti-money laundering training, as well as internal and external training programs, online training, meetings, and seminars/conferences.
  • Perform other duties, responsibilities, and activities as assigned; these may change at any time with or without notice.

Desired Qualifications

  • Microsoft Copilot Studio or Power Platform experience.
  • 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.
  • Experience developing metrics, dashboards, reports, and management-ready status updates.
  • ITIL, Microsoft, Power Platform, AI, data analytics, cybersecurity, or business process improvement certification is a plus.

About the Company

United Community

Offers banking, wealth management, mortgages

United Community provides a range of financial services across the Southeast, including banking, wealth management, and mortgage services, through more than 200 locations in six states. It serves individuals and businesses with checking and savings, loans, investments, and home financing. The company works by offering in-person and digital banking options, guided by a local presence and customer service focus. It differentiates itself through strong customer satisfaction, consistently earning awards from JD Power, Forbes, Newsweek, and American Banker for trust, best banks to work for, and overall service quality. Its goal is to help people and communities improve their financial well-being by delivering reliable, community-focused financial care through accessible branches and a full suite of financial products.

Company size
1,001-5,000
Company stage
IPO
Headquarters
United States
Founded
1950

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