Enterprise Applications AI Integration Engineer

Colorado Public Employees' Retirement Association•Denver, CO

1d•$110,000 - $135,000•Hybrid

About The Position

The Enterprise Applications AI Integration Engineer partners with the AI Architect and Enterprise Applications leadership to implement approved AI solutions and integrations across the enterprise application environment. The engineer evaluates technical options, identifies integration requirements, develops proofs of concept, recommends implementation approaches, and provides feedback on architecture patterns and operational controls based on implementation experience. The position uses hands-on expertise in intelligent automation, programming, API development, system integration, data mapping and transformation, and cloud and on-premises application platforms to streamline business processes and enable accurate, consistent data exchange. Working with moderate independence, the engineer translates business and technical requirements into maintainable solutions; supports testing, deployment, monitoring, and production operations; resolves complex issues; and advances reliability, security, scalability, and continuous improvement. The role serves as a technical escalation resource and collaborates with business, technology, security, and vendor partners throughout the application and integration lifecycle. The position is based at Penn Center in Denver, Colorado, in a standard office environment, with an option to work from home up to three days per week subject to eligibility under PERA’s Work from Home Policy. It is a full-time, exempt role reporting to the Enterprise Applications Manager II. The listed annual salary range is $110,000 to $135,000, commensurate with experience.

Requirements

Bachelor’s degree in a technical field and five years of experience in a related Information Technology profession; responsible experience in enterprise application engineering, application platform administration, systems integration, or a related technical role; or an equivalent combination of education and experience.
Experience evaluating, implementing, or supporting enterprise AI capabilities, intelligent automation, virtual agents, agentic workflows, prompt engineering, AI governance frameworks, or responsible AI practices.
Experience with source control, structured testing, change management, deployment practices, monitoring, logging, reconciliation, and error handling across development, test, UAT, and production environments.
Demonstrated ability to analyze complex requirements, troubleshoot technical issues, produce clear documentation, and communicate effectively with technical and non-technical stakeholders.
Ability to sit for prolonged periods and operate standard PC equipment.
Ability to manage frequent deadlines and tight schedules.
Must be located in the United States; candidates requiring sponsorship now or in the future cannot be considered.

Nice To Haves

Experience integrating or supporting enterprise SaaS, cloud, and identity platforms.
Experience with cloud-native integration services, API management, CI/CD pipelines, automated testing, or observability tools.
Hands-on experience designing, developing, securing, testing, deploying, and supporting enterprise integrations, APIs, scripts, workflow or process automation, backend services, and data transformations using modern integration technologies and programming languages such as Python, PowerShell, or JavaScript.
Relevant technical certifications in AI engineering, cloud development, application integration, automation, or enterprise application operations.

Responsibilities

Design, implement, and support approved AI-enabled capabilities, including intelligent automation, virtual agents, and agentic workflows.
Apply governance, human oversight, data protection, testing, monitoring, and performance measurement throughout the lifecycle of AI-enabled solutions.
Evaluate business and operational processes and implement approved AI-enabled, workflow, scripting, integration, and automation solutions.
Measure process-improvement results against defined business outcomes, including efficiency, consistency, service delivery, data quality, user experience, and risk management.
Build partnerships with business, technology, security, and vendor stakeholders and balance business objectives, user experience, security, maintainability, and organizational standards.
Coordinate testing, deployment readiness, and transition of solutions to support.
Resolve escalated incidents, diagnose complex production issues, conduct root-cause analysis, and implement corrective actions.
Use telemetry and trend analysis to prevent recurrence, reduce technical debt, standardize practices, and improve reliability and operational maturity.
Maintain concise, current, reusable technical documentation to support knowledge transfer, operational continuity, audit readiness, recovery, and cross-functional support.
Administer, configure, monitor, troubleshoot, and support enterprise applications and platforms.
Perform access administration, maintenance, upgrades, lifecycle management, capacity planning, and consumption monitoring.
Participate in training and professional development to maintain and expand relevant technical knowledge.
Research emerging technologies, develop recommendations, and support proofs of concept, pilots, and evaluations under guidance from senior engineers and leadership.
Perform other duties as assigned.