Solution Architect

Booz Allen Hamilton • San Diego, CA

1d • Hybrid

About The Position

Solution Architect The Opportunity: Wireless networks are getting a major upgrade thanks to artificial intelligence. The way our phones, military systems, and connected devices communicate is changing fast—moving from rigid, rule-based networks to smart systems that can adapt on the fly, optimize themselves in real-time, and work reliably even in challenging conditions. We're looking for a lead Solution Architect who can connect the dots between older telecom infrastructure and the latest AI-powered wireless technology. This isn't a behind-the-scenes support job—you're the person who closes deals, advises executives and government leaders, and helps shape the future of wireless systems for defense, intelligence agencies, and businesses. You'll take complex AI concepts—like using powerful graphics processors to handle wireless signals, building intelligent network layers, and deploying AI at the network's edge—and translate them into clear business benefits and real-world impact. You'll design complete solutions that blend existing 5G infrastructure with next-generation AI-powered systems, making sure everything is secure, working together smoothly, and meeting strict government and industry requirements. As the lead Solution Architect, you will shape technical strategies and solution architecture for next-generation AI Radio Access Network (RAN) deployments across government and commercial sectors. You bring deep expertise in legacy telecom systems and hardware-centric RAN engineering while guiding customers through the transition toward AI-accelerated, cloud-native, and Open-RAN–compliant architectures. In this role, you'll serve as a trusted advisor to senior leadership and government decision-makers. You’ll be technical capture and closer for high-value, complex sales opportunities, a system integrator ensuring interoperability across vendor ecosystems, and a strategic partner influencing product roadmaps and industry standards. Join us. The world can't wait.

Requirements

• Experience architecting hybrid deployments that bridge legacy 4G or 5G infrastructure with next-generation AI-native RAN components, including AI-native PHY or MAC implementations, GPU-accelerated baseband processing, and cloud-native network functions
• Experience leading technical engagements with senior leadership, government stakeholders, DoD, Intelligence Community, and commercial operators to shape new technology adoption strategies
• Experience collaborating cross-functionally with product management, engineering, and research teams to align customer needs with technology roadmaps
• Experienced driving and delivering compelling white papers, executive briefings, proof-of-concept demonstrations, and architectural workshops
• Knowledge of assessing and mitigating security implications of AI RAN deployments, including zero-trust architectures, supply chain security, AI model integrity, and cryptographic integration for classified environments
• Knowledge of architectural guidance on system integration, security posture, operational readiness, and compliance with Risk Management Framework (RMF), STIGs, and FedRAMP requirements
• Ability to design solutions addressing interoperability challenges between O-RAN components, proprietary systems, legacy infrastructure, and government-mandated security frameworks
• Ability to translate sophisticated concepts into quantifiable business value
• Ability to obtain a Secret clearance
• Bachelor’s degree in Electrical Engineering, Computer Science, or Telecommunications

Nice To Haves

• Experience deploying AI or ML models at the network edge or in wireless infrastructure environments such as inference optimization or edge AI frameworks
• Experience in government or mission-critical telecom environments, including DoD 5G testbeds or federal civilian agency wireless modernization initiatives
• Experience in 3GPP working groups, O-RAN Alliance, or other industry standards development organizations
• Knowledge of cloud-native RAN (vRAN), containerization with Kubernetes, virtualization technologies, and edge computing architectures
• Knowledge of spectrum sharing technologies such as CBRS or DSS and dynamic spectrum access for tactical and commercial deployments
• Knowledge of next-generation capabilities, including network slicing, Ultra-Reliable Low-Latency Communications (URLLC), and massive IoT
• Top Secret clearance
• Master's degree in Wireless Communications, Signal Processing, AI or ML Engineering, Computer Science, or a related field
• AWS, Azure Solutions Architect, Nokia, Ericsson, or Samsung Certification

Benefits

• health
• life
• disability
• financial
• retirement benefits
• paid leave
• professional development
• tuition assistance
• work-life programs
• dependent care
• recognition awards program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level