AI Platform Architect

CACI International Inc

. Lead the design, implementation, and operation of an enterprise AI workflow management platform supporting the Department of the Air Force .

Posted 9/18/2026full-timeRemote • United StatesSeniorLead💰 $114,600 - $252,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI workflow management platforms, with a strong focus on Azure cloud services, MLOps practices, and compliance with DoD regulations. Proven ability to lead engineering teams, establish best practices, and translate mission requirements into effective technical solutions.

Highest-signal resume keywords

Azure Cloud ServicesMLOps PracticesAI/ML FrameworksPostgreSQL Data ArchitectureDoD Compliance Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Workflow ManagementContainerization with AKSAPI Design and ManagementModel VersioningDisaster Recovery PlanningPython ProgrammingDockerKubernetesVector DatabasesPrompt Engineering

Soft Skills

Excellent CommunicationCollaborationLeadership

Tools & Technologies

ServiceNowLangChainLlamaIndexTensorFlowPyTorchScikit-learnDevOpsMicroservices ArchitecturesWorkflow Orchestration ToolsBusiness Process Automation

Certifications & Qualifications

DoD Secret Clearance

Industry Keywords

IL-5 Security ControlsDISA STIGsFedRAMPNIST 800-53ATO ProcessesGovernment Cloud EnvironmentsCross-Boundary ConnectionsRAG ArchitecturesAI FoundryImpact Level 5 Requirements

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityDockerKubernetesMicroservicesPostgresPythonPyTorchScikit-LearnServiceNowTensorflow

About the role

Key responsibilities & impact

Lead the design, implementation, and operation of an enterprise AI workflow management platform supporting the Department of the Air Force
Design cloud infrastructure for AI workflow management platforms in Azure IL-5 environments
Architect containerized solutions using AKS or similar platforms with IL-5 security controls
Design PostgreSQL data architectures optimized for AI workloads
Establish integrations for Azure OpenAI, ServiceNow APIs, and DISA BCAP cross-boundary connections
Evaluate and integrate AI development tools into a unified platform architecture
Design API gateways, authentication and authorization frameworks, and service mesh architectures
Establish RAG pipelines, vector databases, and embedding strategies
Create reference architectures for agentic workflows, document generation, and ML model deployment
Establish monitoring, logging, and alerting for platform health and AI service performance
Implement MLOps practices including model versioning, A/B testing, and automated retraining
Monitor model performance, drift detection, and data quality
Design disaster recovery and business continuity plans
Troubleshoot integration issues across Azure, ServiceNow, and government networks
Ensure platform scalability and cost optimization
Help build and lead an AI/ML engineering team
Participate in technical screening and onboarding
Establish engineering standards, best practices, and documentation
Foster collaboration among AI engineers, ServiceNow developers, and government stakeholders
Conduct design reviews and provide architectural guidance
Support cybersecurity teams with Department of the Air Force regulations, ATO requirements, and compliance frameworks
Implement DISA STIGs, Impact Level 5 requirements, CUI controls, and data classification requirements
Partner with government customers to translate mission requirements into technical solutions
Evaluate LLM capabilities for RAG, document generation, and agentic workflows
Develop prototypes and proof-of-concepts for government use cases
Establish QA frameworks covering model, integration, and user acceptance testing
Oversee QA processes and ensure AI output accuracy and reliability
Define success metrics and evaluation criteria for AI-driven workflows

Requirements

What you’ll need

US Citizenship required
Must meet eligibility requirements for access to classified information and successfully obtain a Department of Defense (DoD) Secret Clearance and pass relevant background checks
15+ years of relevant experience; a Bachelor’s Degree in a relevant field may be substituted for 5 years of relevant experience
Experience converting real-life use cases into deployable AI/ML solutions
Strong expertise in Azure cloud services, including AI Foundry, DevOps, PostgreSQL, API Management, and networking
Experience with Docker, Kubernetes, microservices architectures, and VMs
Knowledge of LLM technologies, RAG architectures, vector databases, and prompt engineering
Experience with LangChain, LlamaIndex, TensorFlow, PyTorch, scikit-learn, or other AI/ML frameworks
Understanding of API design, integration patterns, and enterprise service buses
Experience with MLOps tools and practices, including model versioning, monitoring, and CI/CD for ML
Experience working directly with customers and understanding mission requirements
Proficiency in Python and/or other AI development languages
Understanding of workflow orchestration tools and business process automation
Excellent communication skills and ability to translate technical concepts for non-technical stakeholders
Active Secret clearance preferred but not required
Experience in government cloud environments such as Azure Government or AWS GovCloud desired
Familiarity with DoD compliance frameworks, including IL-4/IL-5, FedRAMP, NIST 800-53, and STIGs desired
Understanding of DISA network architectures and cross-boundary connection requirements desired
Experience with ATO processes and security accreditation desired
ServiceNow platform experience desired

Benefits

Comp & perks

Flexible time off benefit
Robust learning resources
Healthcare benefits
Wellness benefits
Financial benefits
Retirement benefits
Family support benefits
Continuing education benefits
Time off benefits
Competitive compensation
Learning and development opportunities