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Telecom Fraud Management Jobs in Virginia (NOW HIRING)

EchoStar

Senior AI/ML Architect

Herndon, VA · On-site

$177K - $240K/yr

... fraud detection) * Build realtime data processing frameworks to support highvolume streaming ... Establish governance and best practices for model lifecycle management, version control ...

EchoStar

Senior AI/ML Architect

Herndon, VA · On-site

$177K - $240K/yr

... fraud detection) * Build real-time data processing frameworks to support high-volume streaming ... Establish governance and best practices for model lifecycle management, version control ...

All JobsTelecom Fraud Management JobsTelecom Fraud Management Jobs in Virginia

Telecom Fraud Management information

What is the highest paying job in telecommunications?

In telecommunications, senior executive roles such as Chief Technology Officer (CTO) or Vice President of Network Operations tend to be the highest paying positions, often earning six-figure salaries. These roles require extensive experience, leadership skills, and technical expertise in network infrastructure, security, and strategic planning.

What is fraud management in telecom?

Telecom fraud management involves detecting, preventing, and responding to fraudulent activities such as identity theft, subscription fraud, and call tampering within telecom networks. Professionals in this field use tools like fraud detection systems, data analysis, and industry regulations to protect revenue and maintain service integrity.

What are the key skills and qualifications needed to thrive as a Telecom Fraud Management professional, and why are they important?

To excel in Telecom Fraud Management, you need a solid understanding of telecommunications networks, fraud prevention strategies, and data analysis, often supported by a degree in IT, cybersecurity, or a related field. Experience with fraud management systems (FMS), data analytics platforms, and knowledge of industry standards such as CFCA or TM Forum certifications are commonly required. Strong analytical thinking, attention to detail, and effective communication help professionals identify suspicious patterns and collaborate with cross-functional teams. These competencies are crucial for proactively detecting and mitigating fraudulent activities, protecting company revenue, and maintaining customer trust.

Will the fraud analyst be replaced by AI?

Telecom fraud management analysts play a key role in detecting and investigating fraudulent activities, and while AI tools can assist in automating data analysis and pattern recognition, they are unlikely to fully replace the need for human judgment, critical thinking, and complex decision-making skills required in fraud management. Human analysts will continue to be essential for interpreting AI findings and handling nuanced cases. Ongoing training in data analysis and familiarity with AI tools are important for fraud analysts to stay effective in their roles.

What is the difference between Telecom Fraud Management vs Telecom Security Analyst?

AspectTelecom Fraud ManagementTelecom Security Analyst
CredentialsCertifications in fraud detection, telecom security, and risk managementCertifications in cybersecurity, network security, and risk assessment
Work EnvironmentTelecom companies, fraud detection teams, risk management unitsIT security teams, telecom service providers, cybersecurity departments
Employer & Industry UsagePrimarily in telecom industry focusing on fraud preventionAcross telecom and IT sectors focusing on security threats
Search & Comparison IntentUnderstanding roles in telecom fraud preventionComparing telecom security roles and responsibilities

While both roles focus on protecting telecom assets, Telecom Fraud Management specializes in detecting and preventing telecom-specific fraud activities, whereas Telecom Security Analysts focus on broader cybersecurity threats within telecom networks. Both roles require security certifications and work within telecom environments but differ in their specific focus areas.

What are some typical challenges faced by professionals in Telecom Fraud Management, and how are they addressed?

Professionals in Telecom Fraud Management commonly face challenges such as rapidly evolving fraud tactics, high volumes of transaction data, and the need for real-time detection. To address these, teams implement advanced analytics, machine learning algorithms, and collaborate closely with IT, network security, and customer service departments to share intelligence and respond quickly. Continuous training and staying updated with industry trends are also crucial to proactively mitigate new threats and ensure the security of telecom services.

What is telecom fraud management?

Telecom fraud management refers to the processes, strategies, and technologies used by telecommunications companies to detect, prevent, and respond to fraudulent activities within their networks. This includes identifying suspicious patterns, monitoring for unauthorized access or usage, and implementing controls to minimize financial losses. Effective fraud management helps protect both the service provider and customers from scams such as subscription fraud, SIM card cloning, and international revenue share fraud. The use of advanced analytics, machine learning, and real-time monitoring are common in modern telecom fraud management systems.

Is fraud investigation a good career?

Fraud investigation is a key component of telecom fraud management, involving analyzing data and identifying suspicious activity to prevent financial losses. It requires strong analytical skills, attention to detail, and knowledge of telecom systems and fraud schemes. The role offers opportunities for career growth and specialization, often requiring certifications and experience in cybersecurity or related fields.
What are popular job titles related to Telecom Fraud Management jobs in Virginia? For Telecom Fraud Management jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Telecom Fraud Management jobs in Virginia look for? The top searched job categories for Telecom Fraud Management jobs in Virginia are:
What cities in Virginia are hiring for Telecom Fraud Management jobs? Cities in Virginia with the most Telecom Fraud Management job openings:
Telecom Fraud Management jobs near you
Infographic showing various Telecom Fraud Management job openings in Virginia as of June 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.
Senior AI/ML Architect

Senior AI/ML Architect

EchoStar

Herndon, VA • On-site

$177K - $240K/yr

Full-time

Medical, Retirement

Posted 24 days ago

EchoStar rating

7.0

Company rating: 7.0 out of 10

Based on 70 frontline employees who took The Breakroom Quiz

53rd of 79 rated telecommunications companies

Job description

Company Summary

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.
Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.


Department Summary

Our Wireless Technology team is pioneering the future of connectivity. We're developing and enhancing a unique hybrid network model—combining our advanced, cloud-native 5G core with the nationwide reach of our partners. This approach ensures our network is flexible and powerful, designed to satisfy the social, economic, and transformative needs of the changing world.


Job Duties and Responsibilities

Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.

Key Responsibilities:

  • Lead the development and implementation of an enterprise AI architecture strategy aligned with digital transformation objectives
  • Design, train, and deploy ML models for network optimization (traffic prediction, anomaly detection, selfhealing) and operational analytics (predictive maintenance, fraud detection)
  • Build realtime data processing frameworks to support highvolume streaming analytics for network and customer insights
  • Integrate AI/ML services into OSS/BSS platforms, ensuring smooth interoperability and automated decisionmaking
  • Architect AI solutions for enterprise network slices, leveraging edge computing and cloudnative principles to drive performance and scalability
  • Establish governance and best practices for model lifecycle management, version control, explainability, and compliance with AI ethics guidelines
  • Mentor and guide junior AI ML  engineers, fostering a culture of experimentation, continuous learning, and crossfunctional collaboration

Skills, Experience and Requirements

Education and Experience:

  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or a related technical field
  • 8+ years of experience in telecom architecture, network design, or solutions engineering
  • Experience in writing and responding to technical RFPs/RFIs
  • Hands-on experience with network validation, lab PoCs, and troubleshooting

Skills and Qualifications:

  • Deep expertise in enterprise architectures and edge/cloudnative deployments
  • Proficiency with AI/ML platforms (IBM - Watson, AWS - Bedrock, DataBricks, Google Vertex) and libraries (TensorFlow, PyTorch, Scikitlearn) and big data tools (Kafka, Spark, Hadoop)
  • Strong understanding of network protocols, OSS/BSS systems, and realtime analytics
  • Demonstrated leadership in architecting and delivering largescale AI programs
  • Excellent stakeholder management, verbal/written communication, and crossteam collaboration skills
  • Handson experience with AIpowered network tuning, network slicing, and intentbased networking preferred
  • Familiarity with advanced AI techniques—deep reinforcement learning, federated learning, and model explainability preferred
  • Knowledge of AI ethics, regulatory compliance in telecom, and data privacy frameworks preferred

#LI-LM1


Salary Ranges
Compensation: $177,416.00/Year - $240,034.00/Year
Benefits

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: DISH Benefits.

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. 

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.
EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)

Qualifications:

Education and Experience:

  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or a related technical field
  • 8+ years of experience in telecom architecture, network design, or solutions engineering
  • Experience in writing and responding to technical RFPs/RFIs
  • Hands-on experience with network validation, lab PoCs, and troubleshooting

Skills and Qualifications:

  • Deep expertise in enterprise architectures and edge/cloudnative deployments
  • Proficiency with AI/ML platforms (IBM - Watson, AWS - Bedrock, DataBricks, Google Vertex) and libraries (TensorFlow, PyTorch, Scikitlearn) and big data tools (Kafka, Spark, Hadoop)
  • Strong understanding of network protocols, OSS/BSS systems, and realtime analytics
  • Demonstrated leadership in architecting and delivering largescale AI programs
  • Excellent stakeholder management, verbal/written communication, and crossteam collaboration skills
  • Handson experience with AIpowered network tuning, network slicing, and intentbased networking preferred
  • Familiarity with advanced AI techniques—deep reinforcement learning, federated learning, and model explainability preferred
  • Knowledge of AI ethics, regulatory compliance in telecom, and data privacy frameworks preferred

#LI-LM1

Education:UNAVAILABLEEmployment Type: FULL_TIME

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