Software Engineer – AI Applications & ServiceNow

Overview

GovCIO is currently hiring for a Software Engineer – AI Applications & ServiceNow to

design, build, deploy, operate, and maintain secure, production-grade applications incorporating artificial intelligence (AI), machine learning (ML), and generative AI capabilities within U.S. Government cloud environments.

The successful candidate will be a hands-on software engineer capable of taking AI-enabled solutions from concept and prototype through production deployment and sustained operations. This position requires experience engineering applications within security-conscious cloud environments, including FedRAMP Moderate and FedRAMP High environments and Microsoft Government Community Cloud High (GCC High).

The engineer will also support the design, development, integration, and enhancement of ServiceNow-based solutions, including integrations between ServiceNow, AI services, enterprise applications, data sources, and government cloud services.

This is a remote, full-time position within the United States.

Responsibilities

AI-Enabled Application Engineering

• Design, develop, test, deploy, and maintain production-grade applications incorporating generative AI, machine learning, and related AI capabilities.
• Develop secure AI-enabled applications using large language models (LLMs), AI APIs, retrieval-augmented generation (RAG), agentic workflows, and other emerging AI application architectures.
• Integrate AI services with enterprise applications, databases, APIs, document repositories, knowledge bases, and workflow platforms.
• Develop application services, APIs, user interfaces, data pipelines, and integration components necessary to support enterprise AI solutions.
• Implement appropriate AI application controls including identity and access management, data protection, model access controls, prompt and output handling, logging, monitoring, and auditability.
• Evaluate and integrate commercial, open-source, and cloud-native AI technologies where appropriate.
• Implement mechanisms for AI solution evaluation, testing, observability, performance monitoring, reliability, and continuous improvement.
• Troubleshoot complex application, integration, data, infrastructure, and AI service issues across development and production environments.

Cloud, DevSecOps, and Production Operations

• Deploy and operate applications within FedRAMP Moderate, FedRAMP High, and GCC High environments.
• Engineer solutions in accordance with federal security requirements and organizational security architecture.
• Support secure software development lifecycle (SSDLC) and DevSecOps practices, including automated build, test, security scanning, deployment, and release management.
• Develop and maintain CI/CD pipelines supporting controlled application deployment across development, test, staging, and production environments.
• Implement infrastructure-as-code and configuration-as-code practices where appropriate.
• Support application security controls aligned with applicable frameworks such as NIST SP 800-53 and FedRAMP security control baselines.
• Participate in vulnerability remediation, patching, configuration management, logging, monitoring, incident response, and operational troubleshooting.
• Produce technical documentation and evidence supporting security assessments, Authorization to Operate (ATO) activities, configuration management, and operational readiness.
• Engineer applications for high availability, reliability, scalability, maintainability, and secure operations.

ServiceNow Engineering

• Design, configure, develop, integrate, and maintain ServiceNow applications and workflows.
• Develop ServiceNow solutions using capabilities such as:
• * Flow Designer
• IntegrationHub
• REST and SOAP APIs
• Business Rules
• Script Includes
• Client Scripts
• UI Policies
• Access Control Lists (ACLs)
• ServiceNow tables and data models
• Notifications and workflow automation
• Develop integrations between ServiceNow and external enterprise, cloud, security, data, and AI services.
• Apply ServiceNow development best practices to create maintainable, secure, upgrade-compatible solutions.
• Support troubleshooting, performance optimization, testing, release management, and ongoing maintenance of ServiceNow solutions.
• Experience with ServiceNow AI, automation, ITSM, ITOM, CMDB, or related capabilities is highly desirable.

Qualifications

• Bachelor's with 5 - 8 years (or commensurate experience)
• Demonstrated professional software engineering experience developing and supporting enterprise applications.
• Hands-on experience developing AI-enabled or generative AI applications suitable for production use.
• Experience with modern programming languages such as Python, Java, JavaScript/TypeScript, C#, or comparable languages.
• Experience developing RESTful APIs, microservices, web applications, or distributed application architectures.
• Experience integrating applications with AI/ML services, LLMs, enterprise data sources, or external APIs.
• Experience deploying, operating, troubleshooting, and maintaining applications in cloud environments.
• Understanding of FedRAMP Moderate and/or FedRAMP High security requirements and experience working within regulated or security-controlled cloud environments.
• Knowledge of secure software engineering, DevSecOps, CI/CD, source control, automated testing, vulnerability management, and production application support.
• Experience engineering or supporting ServiceNow applications, integrations, workflows, or platform capabilities.
• Strong understanding of application security principles including authentication, authorization, encryption, secrets management, secure APIs, logging, and auditing.
• Ability to independently investigate complex technical problems and develop practical, secure solutions.
• Strong written and verbal communication skills with the ability to document architectures, designs, interfaces, operational procedures