Enterprise Applications AI Integration Engineer

Colorado Public Employees' Retirement Association • Denver, CO

1d • 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 organization’s 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 applies 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 support accurate, consistent data exchange. Working with moderate independence, the engineer translates business and technical requirements into maintainable solutions and supports testing, deployment, monitoring, production operations, and resolution of complex issues. The role advances platform reliability, security, scalability, and continuous improvement; serves as a technical escalation resource; and collaborates with business, technology, security, and vendor partners throughout the application and integration lifecycle.

The position is hybrid, with the opportunity to work from home up to three days per week, subject to eligibility under PERA’s Work from Home Policy. The work environment is a standard office setting involving frequent telephone and computer use and occasional movement or positioning of supplies over 20 pounds. Employees must be able to sit for prolonged periods, operate standard PC equipment, and manage frequent deadlines and tight schedules. Reasonable accommodation may be available for the essential functions of the role.

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.
• Ability to analyze complex requirements, troubleshoot technical issues, produce clear documentation, and communicate effectively with technical and non-technical stakeholders.
• Ability to perform the essential functions of the job, with or without reasonable accommodation.
• Must be located in the United States and not require employment sponsorship now or in the future.
• Ability to sit for prolonged periods, operate standard PC equipment, and manage frequent deadlines and tight schedules.
• Occasional ability to move and position supplies weighing more than 20 pounds.

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 AI solution lifecycles.
• Evaluate business and operational processes and implement approved AI-enabled, workflow, scripting, integration, and automation solutions.
• Improve efficiency, consistency, service delivery, data quality, user experience, and risk management, and measure results against defined business outcomes.
• 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, perform 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 supporting 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 the guidance of senior engineers and leadership.
• Perform other duties as assigned.

Benefits

• Comprehensive benefits.
• Generous paid time off.
• Career development opportunities, including training, mentoring, and development.
• Everyday office amenities.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level