AI Platform Architect

Job Title:

AI Platform Architect

Job Category:
Information Technology Time Type:
Full time Minimum Clearance Required to Start:
Secret Employee Type:
Regular Percentage of

Travel Required:

Up to 10%
Type of Travel:
Local* * *

We are seeking an experienced AI Platform Architect to lead the design, implementation, and operation of an enterprise AI workflow management platform supporting the Department of the Air Force. This role will architect solutions in Azure IL-5 cloud environments, integrate with Service Now, and enable both technical and non-technical users to develop AI-driven workflows that enhance mission-critical government services.

You will be responsible for establishing a scalable, secure AI platform within our Azure cloud enclave that connects to DISA-compliant networks and Service Now instances. You'll evaluate and integrate multiple AI tools including third-party agentic platforms, Microsoft AI Foundry, and additional systems to be determined, while helping to build a team capable of delivering production-ready AI services to government customers.

• Design and implement cloud infrastructure for AI workflow management platforms in Azure IL-5 environments
• Architect containerized solutions using Azure Kubernetes Service (AKS) or similar with appropriate security controls for IL-5 compliance
• Design data architecture including PostgreSQL database solutions optimized for AI workloads
• Establish integration patterns for Azure OpenAI services, Service Now APIs, and cross-boundary connections via DISA BCAP
• Evaluate and integrate AI development tools into unified platform architecture
• Design and implement API gateways, authentication/authorization frameworks, and service mesh architectures
• Establish RAG (Retrieval-Augmented Generation) pipelines, vector databases, and embedding strategies
• Create reference architectures for agentic workflows, document generation, and ML model deployment.
• Operations & Platform Health.
• Establish operational monitoring, logging, and alerting procedures for platform health and AI service performance
• Implement MLOps practices including model versioning, A/B testing, and automated retraining pipelines
• Monitor AI model performance, drift detection, and data quality across production workflows
• Design disaster recovery and business continuity plans for mission-critical AI services
• Work with Service Now and Azure cloud engineers to troubleshoot complex integration issues across Azure, Service Now, and government networks
• Ensure platform scalability and cost optimization within government budget constraints

• Help build and lead a team of AI/ML engineers, providing direction toward identified objectives and technical oversight
• Participate in technical screening and onboarding of AI/ML talent
• Establish engineering standards, best practices, and documentation for AI development
• Foster collaboration between AI engineers, Service Now developers, and government stakeholders
• Conduct design reviews and provide architectural guidance to engineering teams
• Promote a culture of innovation, experimentation, and continuous improvement

• - Support cybersecurity teammates in navigating Department of the Air Force regulations, Authority to Operate (ATO) requirements, and compliance frameworks
• - Work within DISA Security Technical Implementation Guides (STIGs) and Impact Level 5 requirements
• - Coordinate with cybersecurity security teams for accreditation and continuous monitoring
• - Understand and implement controls for CUI (Controlled Unclassified Information) and data classification requirements

• - Partner with government customers to understand mission requirements and translate into technical solutions
• - Evaluate LLM capabilities (GPT-5+, IL-5-approved alternatives) for specific use cases including RAG, document generation, and agentic workflows
• - Respond to real-world government use cases with prototype solutions and proof-of-concepts
• - Establish QA frameworks for AI services including model testing, integration testing, and user acceptance testing
• - Oversee quality assurance processes or manage QA specialists ensuring AI output accuracy and reliability
• - Define success metrics and evaluation criteria for AI-driven workflows.

• - US Citizenship required
• - Must meet eligibility requirements for access to classified information and be successfully in obtain to a Department…