AI Platform Architect

About the role

CACI is 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. The role architects solutions in Azure IL-5 cloud environments, integrates with ServiceNow and helps technical and non-technical users build AI-driven workflows for government services. It is a full-time, regular position with up to 10% local travel.

Key responsibilities

• Design and implement cloud infrastructure and containerized AKS solutions in Azure IL-5, with PostgreSQL data architecture and integration patterns for Azure OpenAI, ServiceNow and DISA BCAPE
• Integrate AI tools such as third-party agentic platforms and Microsoft AI Foundry, and set up API gateways, authentication, service mesh and RAG pipelines with vector databases
• Set up monitoring, logging and alerting, MLOps practices (versioning, A/B testing, automated retraining), and disaster recovery plans
• Build and lead a team of AI/ML engineers, set engineering standards, run design reviews and foster collaboration with ServiceNow developers and government stakeholders
• Support cybersecurity teammates with ATO requirements, DISA STIGs, CUI controls and continuous monitoring
• Partner with government customers on use cases, evaluate LLM capabilities, deliver prototypes and proof-of-concepts, and define QA frameworks

Required profile

• US citizenship and eligibility for a DoD Secret clearance, with a successful background check; active DoD clearance preferred
• 15+ years of relevant experience (a Bachelor's degree may substitute for 5 years)
• Experience turning real-world use cases into deployable AI/ML solutions and working with customers

Required skills

• Azure cloud services (AI Foundry, DevOps, PostgreSQL, API Management, networking)
• Containerization (Docker, Kubernetes), microservices and VMs
• LLM technologies, RAG, vector databases, prompt engineering and hands-on AI/ML frameworks (LangChain, LlamaIndex, TensorFlow, PyTorch, scikit-learn)
• MLOps tools and practices, API design and integration patterns
• Python or another common AI language

Preferred: active Secret clearance, government cloud experience (Azure Government, AWS GovCloud), DISA and FedRAMP familiarity, ServiceNow experience, and ATO/accreditation exposure.

What we offer

• Proposed pay range of $114,600-$252,100, depending on location, experience and skills
• Healthcare, wellness, financial, retirement, family support, continuing education and time-off benefits
• Flexible time off and learning resources