The Opportunity:

The Director of AI Driven Radio Access Networks (AI RAN) Product Engineering is a senior leadership role responsible for defining, building, and executing the organization’s strategy for applying artificial intelligence and machine learning to modern Radio Access Networks. This leader oversees innovation, architecture, and product development—advancing our product baseline and incorporating new innovations related to AI, sensing, and communications.

This role collaborates closely with product management, customer delivery, and market teams as well as external ecosystem partners such as vendors, standards bodies, and research institutions. Due to the nature of work performed within this facility, U.S. citizenship is required.

What You'll Work On:

• Develop and own the AI RAN product and innovation roadmap.
• Identify opportunities for product and solution differentiation to include those related to sensing, integrations of open weight models for optimized communications, and development, or integration of new RU products.
• Represent the AI RAN function in executive forums and industry collaborations.
• Lead the design and evolution of AI enhanced RAN architectures with a focus on developing new “AI for RAN” applications and innovations.
• Ensure alignment with 3GPP, O RAN Alliance, and other relevant industry standards.
• Partner with the security team to adopt new functionality and security baselines, incorporating new features related to secure AI.
• Work with Agentic and Physical AI teams to develop and host new Edge AI applications and workloads.
• Apply new agentic based applications to operate, secure, and optimize the AI-RAN network.
• Collaborate with procurement and vendor management to influence ODM vendor roadmaps and strategies in accordance with the roadmap and product release strategy.
• Work with customer delivery teams to successfully deploy and integrate the product and solution into customer environments.
• Establish KPIs and benchmarking frameworks to quantify performance, cost efficiency, and customer impact.
• Monitor emerging technologies across AI, automation, ASICs or accelerators, and cloud edge infrastructure.
• Champion a culture of continuous innovation within the organization.

Join us. The world can’t wait.

You Have:

• 10+ years of experience in wireless networks such as LTE, 5G, or 6G, satellite or cellular networks, and network architecture
• Experience with AI/ML systems and their applicability to wireless networks
• Experience leading large cross-functional teams and delivering wireless, satellite, or network solutions in the market
• Knowledge of O RAN and AI-RAN
• Bachelor's degree in Electrical Engineering, Computer Science, or Computer Engineering

Nice If You Have:

• Experience deploying AI/ML in telco or mission‑critical environments
• Experience with network automation frameworks, including SON or intent‑based networking
• Experience in standards groups such as 3GPP, O‑RAN Alliance, ETSI, or IEEE
• Knowledge of model development tools such as Python, TensorFlow, or PyTorch
• Possession of excellent communication and stakeholder management skills at executive levels

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.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the 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.