Job Duties and ResponsibilitiesCandidates 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, self-healing) and operational analytics (predictive maintenance, fraud detection)
- Build real-time data processing frameworks to support high-volume streaming analytics for network and customer insights
- Integrate AI/ML services into OSS/BSS platforms, ensuring smooth interoperability and automated decision-making
- Architect AI solutions for enterprise network slices, leveraging edge computing and cloud-native 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 cross-functional collaboration
Skills, Experience and RequirementsEducation 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/cloud-native deployments
- Proficiency with AI/ML platforms (IBM - Watson, AWS - Bedrock, DataBricks, Google Vertex) and libraries (TensorFlow, PyTorch, Scikit-learn) and big data tools (Kafka, Spark, Hadoop)
- Strong understanding of network protocols, OSS/BSS systems, and real-time analytics
- Demonstrated leadership in architecting and delivering large-scale AI programs
- Excellent stakeholder management, verbal/written communication, and cross-team collaboration skills
- Hands-on experience with AI-powered network tuning, network slicing, and intent-based 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
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Salary RangesCompensation: $177,416.00/Year - $240,034.00/Year
BenefitsWe 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.
