Software Engineer – AI Applications, ServiceNow

GovCIO

. Design, develop, test, deploy, and maintain production-grade applications incorporating generative AI, machine learning, and related AI capabilities .

Posted 11/2/2026full-timeRemote • United StatesMid-LevelSenior💰 $100,000 - $130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining AI-enabled applications, integrating with enterprise systems, and implementing security controls in compliance with FedRAMP and NIST standards. Proficient in utilizing modern programming languages and DevSecOps practices to ensure high availability and reliability of applications.

Highest-signal resume keywords

AI-Enabled Application DevelopmentServiceNow Application EngineeringFedRAMP Compliance KnowledgeCI/CD Pipeline DevelopmentSecure Software Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaJavaScriptTypeScriptC#RESTful API DevelopmentMicroservices ArchitectureAI/ML IntegrationInfrastructure-as-CodeDevSecOps Practices

Soft Skills

Strong Written CommunicationStrong Verbal CommunicationProblem-Solving

Tools & Technologies

ServiceNowAzure AI ServicesDockerKubernetesTerraformBicepARM Templates

Certifications & Qualifications

ServiceNow CertificationsU.S. Government Public Trust Clearance

Industry Keywords

FedRAMPNIST SP 800-53FISMAATO ProcessesAgileScrum

Tech Stack

Tools & technologies

AzureCloudDockerJavaJavaScriptKubernetesMicroservicesPythonServiceNowSOAPTerraformTypeScript

About the role

Key responsibilities & impact

Design, develop, test, deploy, and maintain production-grade applications incorporating generative AI, machine learning, and related AI capabilities
Develop secure AI-enabled applications using LLMs, AI APIs, RAG, agentic workflows, and emerging AI 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 for enterprise AI solutions
Implement identity and access management, data protection, model access controls, prompt/output handling, logging, monitoring, and auditability
Evaluate and integrate commercial, open-source, and cloud-native AI technologies
Implement AI evaluation, testing, observability, performance monitoring, reliability, and continuous improvement mechanisms
Troubleshoot application, integration, data, infrastructure, and AI service issues across development and production environments
Deploy and operate applications in FedRAMP Moderate, FedRAMP High, and GCC High environments
Support SSDLC and DevSecOps practices, including automated build, testing, security scanning, deployment, and release management
Develop and maintain CI/CD pipelines across development, test, staging, and production
Implement infrastructure-as-code and configuration-as-code practices
Support security controls aligned with NIST SP 800-53 and FedRAMP baselines
Participate in vulnerability remediation, patching, configuration management, monitoring, incident response, and operational troubleshooting
Produce technical documentation and evidence for security assessments, ATO activities, configuration management, and operational readiness
Engineer applications for high availability, reliability, scalability, maintainability, and secure operations
Design, configure, develop, integrate, and maintain ServiceNow applications and workflows
Develop ServiceNow solutions using Flow Designer, IntegrationHub, REST/SOAP APIs, Business Rules, Script Includes, Client Scripts, UI Policies, ACLs, tables/data models, notifications, and workflow automation
Develop integrations between ServiceNow and external enterprise, cloud, security, data, and AI services
Apply secure, maintainable, upgrade-compatible ServiceNow development practices
Support troubleshooting, performance optimization, testing, release management, and ongoing ServiceNow maintenance

Requirements

What you’ll need

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, and technical decisions
U.S. citizenship is required
Must be able to obtain and maintain a U.S. Government Public Trust clearance
Preferred: experience with Microsoft Azure Government/GCC High, Azure AI services/Azure OpenAI, RAG, semantic search, vector databases, AI agents, AI evaluation, observability, guardrails, Docker, Kubernetes, Terraform, Bicep, ARM templates, NIST SP 800-53, FedRAMP, FISMA, ATO processes, ServiceNow certifications and capabilities, Agile/Scrum/DevSecOps, and full application lifecycle support