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Solution Architect

Job in San Diego, San Diego County, California, 92189, USA
Listing for: Booz Allen Hamilton
Full Time position
Listed on 2026-02-24
Job specializations:
  • IT/Tech
    Systems Engineer, Cybersecurity
Salary/Wage Range or Industry Benchmark: 112800 - 257000 USD Yearly USD 112800.00 257000.00 YEAR
Job Description & How to Apply Below

Overview

Your growth matters to us - explore our career development opportunities.

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 translate complex AI concepts into clear business benefits and design complete solutions that blend existing 5G infrastructure with next-generation AI-powered systems, ensuring security, interoperability, and compliance with government and industry requirements.

Your Role

As the Lead Solution Architect, you will shape technical strategies and solution architectures for next-generation AI Radio Access Network (RAN) deployments across government and commercial sectors. You will leverage 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. You will serve as a trusted advisor to senior leadership and government decision-makers, leading high-value engagements, ensuring interoperability across vendor ecosystems, and influencing product roadmaps and industry standards.

Join us. The world can’t wait.

You Have
  • 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 technology adoption strategies
  • Experience collaborating cross-functionally with product management, engineering, and research teams to align customer needs with technology roadmaps
  • Experience delivering white papers, executive briefings, proof-of-concept demonstrations, and architectural workshops
  • Knowledge of 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 RMF, STIGs, and FedRAMP requirements
  • Ability to design solutions addressing interoperability between O-RAN components, proprietary systems, legacy infrastructure, and government 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 If You Have
  • Experience deploying AI or ML models at the network edge or in wireless infrastructure environments (e.g., 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 3

    GPP working groups, O-RAN Alliance, or other industry standards organizations
  • Knowledge of cloud-native RAN (vRAN), Kubernetes containerization, 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, 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
Clearance

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