Solution Architect - San Diego - Phase2 Technology

Description

Overview

Job Number: R0234294

Solution Architect

The Opportunity: Wireless networks are undergoing a major upgrade driven by artificial intelligence. The way our phones, military systems, and connected devices communicate is changing fast—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 are 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—such as using powerful graphics processors to handle wireless signals, building intelligent network layers, and deploying AI at the network's edge—into clear business benefits and real-world impact. You'll design complete solutions that blend existing 5G infrastructure with next-generation AI-powered systems, ensuring security, interoperability, and compliance with government and industry requirements. You will shape technical strategies and solution architecture for next-generation AI Radio Access Network (RAN) deployments across government and commercial sectors, bringing deep expertise in legacy telecom systems and hardware-centric RAN engineering while guiding customers toward AI-accelerated, cloud-native, and Open-RAN-compliant architectures.

In this role, you will serve as a trusted advisor to senior leadership and government decision-makers. You'll be the 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.

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, 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 RMF (Risk Management Framework), 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, 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

Clearance

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

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257, annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model

Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.