Senior Analystshave the knowledge, skills, abilities and initiative to deliver timely, practical and innovative solutions to our clients as part of high-performing project teams typically composed of a mix of junior and mid-level analysts who will look to you for technical acumen and mentoring.
Our employee-owners pride themselves on their ability to apply deep analytical rigor and innovative thought that assist clients in understanding and solving a myriad of challenging resource planning and management problems.
This position is located in Arlington, VA.
Position OverviewThe Senior AI Architect/Engineer will lead the design, buildout, and operationalization of the company's enterprise AI platform in Azure GCC High. The role will establish enterprise capabilities for secure frontier model access, RAG-enabled knowledge systems, and governed AI APIs available across the organization. The position will also enable internal engineering teams to deploy AI-powered tools, applications, and services within a controlled cloud environment. The architect will also apply their cloud and AI infrastructure expertise to support both internal initiatives and client-facing engagements.
Primary ResponsibilitiesEnterprise AI Platform Architecture- Design and deploy secure AI infrastructure in Azure GCC High to support enterprise AI capabilities
- Establish enterprise access to frontier models, including RAG-enabled knowledge systems and internal chat tools
- Build and manage secure API layers that provide controlled access to approved models and AI services
- Implement governance controls including RBAC, audit logging, monitoring, and usage tracking, along with cost management and chargeback mechanisms
- Collaborate with corporate IT to configure networking, private endpoints, and identity integration required for secure enterprise deployment
- Enable engineers and technical teams with controlled environments for coding agents, containers, APIs, web applications, and AI-enabled services
- Define and maintain model lifecycle practices including evaluation, approval, deployment, and operational monitoring
AI Adoption Support- Support integration of AI models into analytics pipelines, internal tools, and client-facing solutions
- Advise internal teams and both current and prospective clients on AI use case identification, solution design, and implementation approaches aligned to business needs
- Provide hands-on technical support for deploying AI-enabled applications, including prototyping, troubleshooting, and performance tuning
- Translate AI use cases into practical workflows and operating models to support various client engagements
Security, Governance, and IT Coordination- Ensure architecture and operational practices support CMMC compliance requirements
- Architect solutions consistent with Azure GCC High, FedRAMP, and DoD IL requirements
- Implement access controls, logging, and data governance policies
- Coordinate closely with internal IT on networking, identity, and security
- Develop architecture documentation, SOPs, and implementation roadmaps
Minimum Qualifications- 8+ years of experience in cloud architecture, platform engineering, or AI/ML infrastructure
- Strong hands-on experience designing and deploying systems in Microsoft Azure
- Experience building or operating AI/LLM enabled infrastructure, including familiarity with concepts such as RAG, embeddings, vector databases, and model APIs
- Experience designing secure cloud architectures including identity integration, RBAC, private networking, and service-to-service authentication
- Experience implementing monitoring, logging, and usage tracking for production cloud systems
- Ability to translate business and operational requirements into practical cloud architecture and platform design decisions
- Experience working with containerized services and modern deployment patterns (e.g., containers, APIs, managed services)
- Strong written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders
Preferred Qualifications- Experience working in Azure GCC High or other regulated government cloud environments
- Strong familiarity with FedRAMP, DoD Impact Level (IL) requirements, CMMC, and NIST 800-171 security controls
- Experience supporting U.S. Government or defense-sector clients
- Experience building enterprise AI systems such as RAG-enabled applications or internal AI platforms
- Relevant certifications such as Azure Solutions Architect (AZ-305), Azure Security Engineer (AZ-500), CISSP, CCSP, Security+
