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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Applications AI Integration Engineer - **Company:** Colorado Public Employees' Retirement Association - **Location:** Denver, CO, United States (Remote available) - **Experience:** Expert - **Salary:** $110,000 - $135,000 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, Computing Platforms, Automation of Tests, Software as a Service, Cloud Computing, Cloud Engineering, Computer Programming, Continuous Integration, Data Mapping, Data Transformation, Electronic Data Interchange (EDI), Identity and Access Management, Python (Programming Language), Office Suite, Windows PowerShell, Systems Integration, Data Logging, Enterprise Software Applications, System Availability, Grafana, Prompt Engineering, Technical Debt, Backend, Agentic-AI, Information Technology, Enterprise Integration, Data Management, Virtual Agents, Api Design, Software Version Control, Api Management, Programming Languages - **Published:** November 7, 2026 - **Apply:** https://www.jofdav.com/jobs/60447267-enterprise-applications-ai-integration-engineer ## About the Role * Bachelor's degree in technical field; five years' experience in a related Information Technology profession; responsible experience in enterprise application engineering, application platform administration, systems integration, or a related technical role; or 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. Preferred Qualifications * 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 are preferred but not required., * Standard office environment with frequent telephone communication, computer operation, and other office productivity machinery, such as a copy and printer machine. * Occasional moving and positioning supplies in excess of 20 pounds * All employees are expected to present themselves in a professional manner in alignment with the financial services industry * Ability to sit for prolonged periods of time * Ability to operate standard PC equipment * Ability to manage frequent deadlines and tight schedules ## Description The Enterprise Application AI Integrations Engineer works in partnership with the AI Architect and Enterprise Applications leadership to implement approved AI solutions and integrations across the organization's enterprise application environment. The engineer will work alongside the AI Architect by evaluating technical options, identifying integration requirements, developing proof of concepts, and recommending implementation approaches. The position is expected to provide feedback on architecture patterns and operational controls based on implementation experience. The role applies hands-on engineering 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 platform reliability, security, scalability, and continuous improvement. The position serves as a technical escalation resource and collaborates with business, technology, security, and vendor partners throughout the application and integration lifecycle., Employees are held accountable for all duties of the job. Individuals must be able to perform these duties with or without reasonable accommodations. * AI Lifecycle Management & Governance: 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 to keep solutions accurate, secure, explainable, maintainable, and aligned with approved business outcomes throughout the lifecycle. * Automation, AI Enablement & Process Improvement: Evaluate business and operational processes to identify 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. * Requirements & Solution Delivery: Build trusted partnerships with business, technology, security, and vendor stakeholders. Balance business objectives, user experience, security, maintainability, and organizational standards while coordinating testing, deployment readiness, and transition to support. * Operational Excellence & Problem Resolution: 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. * Documentation & Knowledge Transfer: Maintain concise, current, and reusable technical documentation that supports knowledge transfer, operational continuity, audit readiness, recovery, and cross-functional support. Other Duties/Responsibilities * Administer, configure, monitor, troubleshoot, and support enterprise applications and platforms. * Perform access administration, maintenance, upgrades, lifecycle management, capacity planning, and consumption monitoring to keep solutions secure, reliable, maintainable, and cost-effective. * Participate in training and professional development activities to maintain and expand technical knowledge relevant to enterprise applications. * Research emerging technologies, develop recommendations, and support proofs of concept, pilots, and evaluations for new tools or platforms that address evolving business and technology needs, under guidance from senior engineers and leadership. * Perform other duties as assigned., Applicant Instructions: Please answer each question using a specific example from your professional experience. Clearly describe your individual contribution, the technologies or methods used, key decisions or challenges, and the measurable result. Responses should be concise and should not exceed 300 words per question. 1. Intelligent Automation, AI, and Process Improvement + Describe a business or operational process you improved through scripting, workflow automation, or an approved AI-enabled capability. How did you evaluate the opportunity, design and implement the solution, and measure the result? If AI was involved, how did you address governance, human oversight, data protection, testing, monitoring, and ongoing value? 2. Data Management, Security, and Compliance * Provide an example of a solution in which you mapped, transformed, validated, or reconciled data between systems. How did you protect the integration, manage authentication or credentials, verify data accuracy and reliability, and address applicable security, privacy, compliance, or audit requirements? 1. API and Integration Development * Describe an enterprise integration, API, script, or backend service you personally designed, developed, or significantly enhanced. What systems, technologies, programming languages, protocols, or integration methods did you use? Explain your individual contribution, key technical decisions, how you tested and supported the solution, and the measurable outcome. Job Description Disclaimer This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of an employee. Duties, responsibilities, and activities may change or be assigned with or without notice. Unfortunately, at this time, PERA cannot consider candidates that require sponsorship (now or in the future), or are located outside of the US. All Colorado PERA employees are subject to PERA's Ethics Policy and some employees are subject to the Personal Trading Policy. These policies include restrictions on outside business activities and employment and have certain requirements on personal trading. You may request copies of these policies from PERA's talent acquisition team and any questions can be answered by PERA's Investment Administration team.