Principal System Architecture Standards Engineer

About the role

Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session. This role addresses the complex challenge of defining and standardizing the next generation of wireless architecture which requires deep technical mastery of 3GPP System Architecture (SA5,SA6, and SA2) and OAM/EMS frameworks used to shape global wireless standards with focus on the integration of AI/ML and autonomous network capabilities.

Responsibilities

• Representation of EchoStar/Boost Mobile as a lead delegate in 3GPP SA, GSMA, TM Forum and AI related organizations to drive the evolution of AI-driven system architectures and open APIs
• Strategic technology analysis for a hybrid MNO core network architecture that effectively supports AI/ML, NTN-TN integrated services, sensing and other emerging technologies
• Development of actionable standards plans that leverage cloud-native core network assets to achieve departmental OKRs for network automation and service innovation
• Influential and strong presence within global industry bodies and vendor relationships to align international wireless standards with the company's long-term technology roadmap
• Technical ownership of AI/Data frameworks that enable Level 4 Autonomous Network capabilities and automated system management
• Cross-functional collaboration that ensures internal engineering teams are aligned with emerging 6G technologies and protocol-level developments
• Monitor and translate emerging AI interoperability protocols (e.g., MCP, A2A, OpenInference, OpenTelemetry, GenAI semantic conventions) into enterprise-wide architecture guidelines and governance guardrails
• Own EchoStar's AI observability standards, including OpenTelemetry attribute schemas for LLM spans, agent traces, tool invocations, and multi-agent workflows across hybrid AI platform deployments
• Define and maintain standardization patterns for agentic AI frameworks (e.g., LangGraph, CrewAI, Strands, AutoGen)

Requirements

• Deep technical mastery of 3GPP System Architecture (mainly SA5 and SA6; SA2 is a plus) and OAM/EMS frameworks used to shape global wireless standards
• Proven expertise in TM Forum and GSMA frameworks, preferably regarding AI/ML use cases and autonomous network lifecycle management
• Strong knowledge of 3GPP AI/ML, NTN, and Network Energy Saving features up to Release 19
• Knowledge of the AI applications in 3GPP - AI for Network, Network for AI, AI for Mobility, AI LCM (Life Cycle Management), Data Framework, NWDAF, MDAF, etc.
• Knowledge of AI for PHY and AI for (NG) RAN is a plus
• Knowledge of AI ethics, regulatory compliance in telecom, and data privacy frameworks preferred