Principal Network Architect – Army AI/ML Modernization- PM IS&A at Semper Valens Solutions in Belcamp, MD, USA

Job description

• Semper Valens Solutions is seeking an experienced Senior Network Architect to support Project Manager Intelligence Systems & Analytics (PM IS&A) and Project Linchpin, the U.S. Army's high-visibility Artificial Intelligence and Machine Learning (AI/ML) modernization initiative. This position plays a critical role in designing and optimizing the network infrastructure that enables mission-critical Army intelligence capabilities.
• The successful candidate will provide technical leadership in the design, analysis, documentation, and modernization of complex intelligence network architectures across the Department of Defense Information Network (DODIN-A) and Army intelligence environments.

Responsibilities

• Develop, document, and maintain current ("As-Is") and future-state ("To-Be") network architectures supporting Army intelligence systems.
• Produce architecture products that comply with Department of Defense Architecture Framework (DoDAF) and Enterprise Architecture (EA) standards.
• Monitor and analyze network performance using enterprise network management and packet analysis tools to identify bandwidth constraints, latency issues, and other performance bottlenecks.
• Collaborate with network service providers to evaluate traffic patterns and optimize network performance across tactical and strategic environments.
• Design, evaluate, and recommend scalable network solutions that improve performance, resiliency, and availability.
• Develop technical specifications, contingency plans, and alternate routing strategies to support mission continuity.
• Partner with Program Executive Offices (PEOs), Army Cyber Command (ARCYBER), systems engineers, and intelligence stakeholders to translate operational requirements into modernized network solutions.
• Provide technical leadership and brief network architecture recommendations, risks, and modernization strategies to senior government and military leadership.
• Support the integration of emerging technologies while ensuring compliance with Army and DoD cybersecurity and network standards.

Requirements

• Extensive experience in enterprise network architecture, network systems engineering, and topology design within Department of Defense environments.
• Demonstrated expertise in network capacity planning, performance analysis, bottleneck identification, and infrastructure optimization for large-scale distributed networks.
• Strong understanding of Army and DoD networking policies, standards, and regulations, including AR 25-1 and related guidance.
• Experience operating within secure, mission-critical intelligence or defense environments.
• Proficiency with enterprise network monitoring, diagnostic, and packet analysis tools.
• Excellent written and verbal communication skills, including the ability to brief senior military and civilian leadership.
• Proven ability to lead technical teams and collaborate effectively across multiple engineering disciplines.
• Active Top Secret security clearance is required.
• Eligibility for Sensitive Compartmented Information (SCI) access is strongly preferred due to the nature of supported Army intelligence programs.
• Bachelor's degree in Electrical Engineering, Electronics Engineering, Systems Engineering, Software Engineering, Computer Engineering, Computer Science, Mechanical Engineering, or a related technical discipline.
• Minimum of fifteen (15) years of relevant professional experience.
• A Master's degree in a related technical field and a minimum of eight (8) years of relevant experience may be substituted for the bachelor's degree and fifteen (15) years of experience requirement.

Skills

Required

• Enterprise network architecture
• Network systems engineering
• Topology design
• Network capacity planning
• Performance analysis
• Bottleneck identification
• Infrastructure optimization
• Network monitoring tools
• Diagnostic tools
• Packet analysis tools
• DoDAF
• Enterprise Architecture (EA)

Preferred

• SCI eligibility