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 may be located in Arlington, VA (Headquarters), Washington D.C., Pentagon, Springfield, VA., Chantilly, VA., Tysons Corner, VA.

Position Overview

The 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 Responsibilities

Enterprise 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+

Salary range: $105,000- 200,000 USD

The salary range listed is one part of our total compensation package, which may also include bonuses, incentives and benefits. Individual compensation is determined based on qualifications such as relevant years of experience, education, certifications and geographic location.