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Solution Architect

Job in Baltimore, Anne Arundel County, Maryland, 21276, USA
Listing for: Jobs via Dice
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Systems Engineer, Cybersecurity, AI Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Overview

The Opportunity: Wireless networks are being upgraded with artificial intelligence. The role focuses on bridging legacy telecom infrastructure and AI-powered wireless technology, and involves advising executives and government leaders, shaping the future of wireless systems for defense, intelligence, and business sectors.

We are looking for a lead Solution Architect who can connect the dots between older telecom infrastructure and the latest AI-powered wireless technology. You will translate complex AI concepts into clear business benefits, design complete solutions that blend existing 5G infrastructure with next‑generation AI-powered systems, and ensure security, interoperability, and compliance with 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 will guide customers through the transition toward AI-accelerated, cloud-native, and Open-RAN–compliant architectures, leveraging deep expertise in legacy telecom systems and hardware-centric RAN engineering.

You will serve as a trusted advisor to senior leadership and government decision-makers, acting as technical capture and closer for high-value 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.

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 new 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, proofs-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 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 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
Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to…

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