AI Development and Enablement Analyst

United Community Bank•Greenville, SC

17h•$60,466 - $93,119

About The Position

The AI Development and Enablement Analyst supports the Bank’s responsible adoption of artificial intelligence by designing, building, testing, publishing, and maintaining approved AI agents and related automation capabilities. The role translates business needs into practical, governed AI solutions that improve efficiency, access to internal knowledge, process consistency, and the safe, controlled, measurable use of AI. The analyst creates and supports centrally published agents, validates agents developed by other Bank groups or third parties, maintains the inventory of AI use cases and published agents, and partners with Technology, Information Security, Risk, Compliance, Legal, Audit, Model Risk Management, and business stakeholders. The role is a hands-on builder, tester, documentation owner, and lifecycle support resource for AI agents across the Bank. The position also monitors agents after release, maintains agent documentation and controls, supports governance reviews, develops metrics and management reporting, and assists with AI awareness and enablement. It includes required compliance training and other duties that may be assigned. The role operates in a professional office environment, requires schedule flexibility for evenings and weekends as needed, and requires up to 50% travel. It is a full-time, exempt position and does not manage employees.

Requirements

Bachelor’s degree in Information Technology, Computer Science, Data Analytics, Business Analytics, Management Information Systems, or a relevant field, or equivalent work experience 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 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 the 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 for communicating 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 conduct 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.
Must be able to meet the position’s physical requirements, which include sedentary activity, climbing, standing, stooping, or typing.
Must be able to work evenings and weekends as needed and travel up to 50%.

Nice To Haves

Banking, financial services, risk management, compliance, audit, information security, or third-party vendor governance experience.
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.

Responsibilities

Design, build, configure, test, publish, and support approved AI agents using Bank-approved platforms and capabilities.
Partner with business units to evaluate AI use case requests, clarify objectives, define scope and intended users, document expected outputs, and establish guardrails.
Develop and maintain agent instructions, prompts, knowledge source configurations, connectors, fallback responses, disclaimers, citation requirements, and escalation instructions.
Perform structured pre-release testing, including expected-answer, source-grounding, boundary, unauthorized-information-request, hallucination, prompt-injection or misuse, 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 for alignment with Bank standards, approval conditions, access controls, and lifecycle requirements.
Maintain the enterprise inventory of AI use cases, approved tools, published agents, owners, business purposes, knowledge sources, risk classifications, review dates, test results, deployment status, exceptions, and retirement status.
Coordinate with review boards, committees, control functions, and business owners to support governance review and approval processes.
Monitor published agents by reviewing usage, user feedback, failed searches, inaccurate responses, escalation activity, knowledge-source freshness, access issues, and other operational indicators.
Create and maintain agent documentation, including purpose, scope, data sources, permissions, ownership, test evidence, change history, limitations, support procedures, and periodic review records.
Maintain agents by updating instructions, refreshing knowledge sources, adjusting configurations, remediating defects, retiring outdated agents, and documenting and obtaining approval for changes as required.
Develop metrics, dashboards, and management reporting related to AI use cases, adoption, feedback, operational performance, control effectiveness, issue remediation, and AI maturity progress.
Assist with AI awareness, training, and enablement, including guidance on appropriate AI use, prompt practices, agent limitations, responsible use, and requesting new capabilities.
Identify opportunities to use AI to improve efficiency, knowledge retrieval, quality control, and measurable business outcomes while maintaining 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 required compliance training, including Bank Secrecy Act/anti-money laundering training, and internal and external training programs, meetings, and seminars or conferences.
Perform other duties, responsibilities, and activities as assigned.
Pass a criminal background and credit check.