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Artificial Intelligence Telecom Jobs in Washington

Seekr

Senior DevOps Engineer

Reston, VA · On-site

$135K - $173K/yr

About the Company: Seekr is a leader in explainable and trustworthy artificial intelligence ... Trusted by leading enterprises and government agencies, we partner with defense, finance, telecom ...

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Artificial Intelligence Telecom information

What is an artificial intelligence telecom professional?

An Artificial Intelligence Telecom professional is someone who applies AI and machine learning technologies to improve telecommunications systems and services. They work on optimizing network performance, automating customer support, detecting fraud, and enhancing user experiences through intelligent solutions. These professionals often collaborate with data scientists, network engineers, and software developers to build and deploy AI-driven tools that meet the evolving needs of telecom companies. Their expertise is crucial in enabling faster, smarter, and more reliable communications for consumers and businesses.

What are the key skills and qualifications needed to thrive as an artificial intelligence telecom professional?

To excel as an Artificial Intelligence Telecom professional, you need a solid background in computer science, telecommunications, and data analytics, often supported by a relevant bachelor’s or master’s degree. Familiarity with AI and machine learning frameworks (such as TensorFlow or PyTorch), telecom protocols, and cloud platforms (like AWS or Azure) is typically required, along with certifications in AI or telecommunications. Strong problem-solving abilities, teamwork, and effective communication help you collaborate with cross-functional teams and translate technical findings into business value. These skills are crucial for designing, implementing, and optimizing AI-driven telecom solutions that improve network performance and customer experience.

How does an artificial intelligence professional in the telecom industry typically collaborate with network engineers and data scientists?

In the telecom sector, AI professionals frequently work alongside network engineers and data scientists to develop, implement, and optimize intelligent network solutions. Collaboration often involves analyzing large datasets from network operations, designing machine learning models to predict outages or optimize traffic, and integrating these models into existing network management systems. Regular meetings, cross-functional project teams, and shared tools are common, ensuring that AI initiatives are aligned with technical requirements and business goals. This collaborative environment helps drive innovation while maintaining the reliability and efficiency of telecom networks.

What is the difference between Artificial Intelligence Telecom vs Data Scientist?

AspectArtificial Intelligence TelecomData Scientist
Required CredentialsBachelor's or master's in computer science, AI, or telecommunications; certifications in AI or networkingBachelor's or master's in statistics, computer science, or related fields; certifications in data analysis or machine learning
Work EnvironmentTelecommunications companies, network providers, AI solution firmsTech companies, finance, healthcare, research institutions
Employer & Industry UsageFocuses on integrating AI into telecom infrastructure and servicesAnalyzes data to inform business decisions across industries

While both roles involve AI and data analysis, Artificial Intelligence Telecom specializes in applying AI within the telecommunications industry, focusing on network optimization and AI-driven telecom solutions. Data Scientists work across various sectors analyzing data to extract insights, making their scope broader but less industry-specific.

What is the role of artificial intelligence in telecom?

Artificial intelligence in telecom involves using machine learning and data analytics to optimize network performance, automate customer service, and enhance security. AI helps telecom companies improve service quality, reduce operational costs, and enable predictive maintenance of infrastructure. Professionals in this field often work with data modeling, programming, and network systems to implement AI solutions.

What are popular job titles related to Artificial Intelligence Telecom jobs in Washington?

For Artificial Intelligence Telecom jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Telecom jobs in Washington look for?

The top searched job categories for Artificial Intelligence Telecom jobs in Washington are:

Artificial Intelligence Telecom jobs near you
Infographic showing various Artificial Intelligence Telecom job openings in Washington as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution.

Principal Systems Engineer, RF Communications & Sensing

Parallel Wireless

Washington, DC • On-site

Full-time

Re-posted 2 days ago

Job description

Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation through green and sustainable networks. Learn more about our mission, vision and values.
Position Summary
The Principal Systems Engineer (Technical SME) provides senior technical leadership for U.S. Department of War and Federal wireless communications, networking, and sensing solutions. This role requires deep expertise in DoW network/communications CONOPS and mission needs, software-defined RF systems, AI/ML-enabled wireless networks, adaptive networking, and integrated communications and sensing.
Key Responsibilities
  • Serve as principal technical authority for wireless communications, networking, and integrated communications and sensing architectures.
  • Primary technical support for Federal/DoW customer engagements
  • Lead customer RFP technical responses and capability white papers
  • Shape strategy for O-RAN-based 5G/6G, distributed sensing, and cognitive EMSO operations.
  • Architect software-defined RF systems integrating communications, networking, and sensing.
  • Design AI-driven (O-RAN RIC and applications) resilient wireless networks with adaptive resource management.
  • Lead solutioning, architecture, and design of multi-waveform radios, waveforms, and SDN-enabled architectures.
  • Conduct modeling, simulation, and performance assessments.
  • Advise DoW and Federal leaders on communications, networking, and sensing architectures.
  • Lead technical exchanges, CONOPS development, and capability road mapping.
  • Provide technical leadership for captures, proposals, and complex programs as Chief Engineer or Technical Lead.

Required Qualifications
  • Master's or PhD in Electrical Engineering, Computer Engineering, or related field (or equivalent experience).
  • 10+ years of experience in wireless (tactical and cellular) dual-use communications, networking, sensing, or cognitive systems.
  • System-level expertise in software-defined radio (SDR), software-defined networking (SDN/SD-WAN), and virtualized networks.
  • Expertise in RF communications, mesh networking, and integrated communications/sensing.
  • Experience with 5G/6G, O-RAN, tactical radios, and multi-domain MANET/mesh networks.
  • Knowledge of RF sensing, EW awareness, and spectrum operations.
  • Experience with DoW, NATO, and joint interoperability architectures (e.g., CMOSS, 3U-VPX).
  • Knowledge of DoW and Federal communications requirements and network modernization efforts.
  • US citizen with the ability to obtain and maintain US security clearance.
  • Ability to obtain and maintain a U.S. Government security clearance, as required for the role.

Preferred Qualifications
  • Currently holding an active U.S. Secret clearance or Top Secret clearance.
  • Patents, Publications and standards contributions
  • Prior experience as Chief Engineer, Technical Director, or Technical Fellow.

Equal Employment Opportunity & Accommodations
We are an Equal Opportunity Employer and consider applicants without regard to legally protected characteristics. If you need a reasonable accommodation to apply or interview, please let us know.
Parallel Wireless is expanding the ecosystem for Open RAN with the GreenRAN™ energy-efficient Hardware-Agnostic technology. Deployed worldwide, our comprehensive 2G/3G/4G/5G Macro RAN solutions enhance network security while reducing operating expenses. As pioneers of Open RAN, we prioritize innovation, flexibility, and sustainability to help build a more connected, and green networks. Headquartered in the USA with global R&D centers, we are proud to serve over 60 customers worldwide and have been recognized with over 100 industry awards. Our mission is to accelerate GSMA's Mobile Net Zero initiative by reducing TCO and driving innovation across the telecom ecosystem.Learn more at www.parallelwireless.com.
Parallel Wireless embraces diversity and equality of opportunity. We are committed to building inclusive and diverse teams representing all backgrounds, with a wide range of perspectives, and empowering industry-leading skills. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.Parallel Wireless does not accept unsolicited resumes or applications from agencies or individuals. Please do not forward resumes to our jobs alias, Parallel Wireless employees, or any other company location. Parallel Wireless is not responsible for any fees related to unsolicited resumes/applications.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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