AI Solutions Administrator

umb; Kansas City (MO); Hybrid; USD 85,000 - 115,000; Full time

Job summary

UMB is seeking an AI Solutions Administrator to design, build, integrate, and operate enterprise AI capabilities. You will work hands-on with Glean, AWS, automation, and data sources to deliver secure, scalable AI solutions.

This is an early-career technical role blending AI, cloud, scripting, and systems integration. The role is hybrid (Mon–Thu on-site, Fri remote) at the UMB Technology & Operations Center in downtown Kansas City, MO.

Qualifications

• 2–4 years in AI administration, AI application support, SaaS administration, automation, platform management, cloud operations, systems integration, or related technical field.
• Experience managing user accounts, roles, permissions, or access controls in enterprise systems.
• Familiarity with system integrations, connectors, APIs, webhooks, JSON, or common integration patterns.
• Basic scripting, configuration, or automation skills using Python, JavaScript, PowerShell, SQL, or similar technologies.
• Created or configured AI agents, conversational AI skills, automation workflows, or AI-enabled business solutions.
• Ability to identify opportunities to improve or automate business processes using AI-based technologies.
• Familiarity with AWS cloud concepts and services (IAM, S3, Lambda, CloudWatch).
• Monitored, interpreted, and communicated platform consumption, usage, reliability, and performance metrics.

Responsibilities

• Design, configure, test, deploy, monitor, and improve AI agents, reusable skills, and automated workflows.
• Translate business needs into technically sound AI solutions, including agent instructions and workflow steps.
• Build and maintain integrations between Glean and enterprise systems using connectors, APIs, webhooks.
• Identify opportunities to automate manual or repetitive processes and turn them into secure, scalable solutions.
• Apply scripting and automation to maintain AI capabilities and platform administration.
• Monitor platform consumption, reliability, and performance metrics; identify risks and optimization opportunities.

Skills

Python

JavaScript

PowerShell

SQL

APIs & Webhooks

AWS concepts

Tools

Glean

AWS

Job description

UMB builds secure, practical, enterprise-scale AI capabilities that improve how employees work, how customers are served, and how decisions are made. The AI team drives automation, data-informed decision-making, and software modernization through machine learning, natural language processing, predictive analytics, generative AI, and cloud technologies.

As an AI Solutions Administrator , you will help design, build, integrate, and operate UMB's enterprise AI capabilities. You will work hands-on with Glean, AWS, automation technologies, enterprise data sources, and business stakeholders to deliver secure and scalable AI solutions. You will create AI agents and reusable skills, automate business workflows, configure integrations, monitor platform performance, administer access, and troubleshoot complex technical issues. You will also help establish the procedures, documentation, and operational controls needed to use AI responsibly in a regulated financial services environment. This is an early-career technical role for someone who enjoys combining AI, cloud technology, scripting, systems integration, and business problem-solving. It is a hands-on platform-building and engineering opportunity-not a traditional help-desk position. This is a subset of the overall responsibilities which will include multiple initiatives as assigned by IT leadership.

This role is hybrid (Mon through Thu on-site / Fri remote) at the UMB Technology & Operations Center located in downtown Kansas City, MO.

How you will spend your time:

• Design, configure, test, deploy, monitor, and improve AI agents, reusable skills, and automated workflows based on business requirements.
• Translate business needs into technically sound AI solutions, including agent instructions, prompt logic, data connections, workflow steps, validation criteria, and operational controls.
• Build and maintain integrations between Glean and approved enterprise systems and data sources using connectors, APIs, webhooks, and common integration patterns.
• Identify opportunities to automate manual or repetitive business processes and help turn those opportunities into secure, scalable solutions.
• Apply scripting, configuration, and automation skills to build or maintain AI capabilities and platform administration processes.
• Monitor Glean platform consumption, usage, reliability, performance, and adoption metrics; identify trends, capacity needs, risks, and optimization opportunities.
• Administer user accounts, roles, permissions, access controls, and access-related documentation in accordance with established security procedures.
• Provide technical support and troubleshooting for platform issues, connectors, access requests, configuration problems, data issues, and performance concerns.
• Diagnose issues across configuration, integration, identity, data, workflow, and platform layers; research alternatives and document the resolution.
• Monitor platform reliability and apply established practices for scalability, availability, maintainability, logging, and observability.
• Collaborate with IT, data teams, business stakeholders, security partners, and end users to promote adoption and effective use of enterprise AI capabilities.
• Maintain clear technical documentation for configurations, operating procedures, troubleshooting steps, changes, known issues, and support processes.
• Help ensure that platform configurations and administrative processes align with security, governance, regulatory, audit, and data-protection requirements applicable to financial services.
• Stay current with Glean platform updates, AWS capabilities, enterprise AI administration practices, responsible AI principles, and relevant security considerations.
• Support additional AI, cloud, automation, and modernization initiatives assigned by IT leadership.

We are excited to talk if you have:

• 2-4 years of experience in AI administration, AI application support, SaaS administration, automation, platform management, cloud operations, systems integration, or a related technical field. Equivalent hands-on experience, academic projects, internships, military experience, or certifications may be considered.
• Experience managing user accounts, roles, permissions, or access controls in enterprise systems.
• Familiarity with system integrations, connectors, APIs, webhooks, JSON, or common integration patterns.
• Basic scripting, configuration, or automation skills using Python, JavaScript, PowerShell, SQL, or similar technologies.
• Created or configured AI agents, conversational AI skills, automation workflows, or AI-enabled business solutions.
• Ability to identify opportunities to improve or automate business processes using AI-based technologies.
• Familiarity with AWS cloud concepts and services, such as IAM, S3, Lambda, CloudWatch, networking, monitoring, and security services.
• Monitored, interpreted, and communicated platform consumption, usage, adoption, reliability, and performance metrics.
• Strong technical problem-solving and trou