Senior Principal Autonomous Networks, Agentic AI Architect – 5G Mobile Core

AT&T

. Lead the architecture and engineering of Autonomous Network capabilities for AT&T's Mobile Core, advancing use cases across TM Forum AN Levels 1–5 .

Posted 11/3/2026full-timeBothell • Washington • United StatesSenior💰 $208,600 - $313,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates deep expertise in telecommunications network architecture and automation, particularly within large-scale Mobile Core environments, with a strong focus on AI-driven and closed-loop automation systems. Proficient in bridging traditional network engineering with modern cloud-native software engineering, AI/ML, and automation technologies.

Highest-signal resume keywords

Telecommunications Network Architecture5G Standalone Core ArchitectureAgentic AI and Closed-Loop Automation SystemsAIOps and ML-Enabled AutomationNetwork Automation and System Architecture

ATS Keywords

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Hard Skills

Python DevelopmentGo DevelopmentNetwork AutomationAI/ML EngineeringGitOpsCI/CDAutomated TestingNetwork AnalyticsTelemetryData Pipelines

Soft Skills

Strong Communication SkillsExecution-Oriented MindsetInfluencing Engineering and Leadership

Tools & Technologies

Observability SystemsAutomation ToolsAPIsAI-Assisted DevelopmentCloud-Native Platforms

Industry Keywords

TM Forum Autonomous Networks3GPP SA5ETSI ZSMTelecommunications StandardsNetwork Functions

Tech Stack

Tools & technologies

CloudDistributed SystemsPythonGo

About the role

Key responsibilities & impact

Lead the architecture and engineering of Autonomous Network capabilities for AT&T's Mobile Core, advancing use cases across TM Forum AN Levels 1–5
Define intent-driven architectures translating business and operational intent into policies, decisions, and automated network actions
Establish the reference architecture for agentic network operations and AI-agent interactions with network functions, OSS platforms, observability systems, APIs, and automation tools
Design and deploy closed-loop, self-healing systems that detect network conditions, determine corrective actions, execute changes, and validate outcomes
Architect real-time telemetry, topology, event, and network-data pipelines
Apply network analytics and digital twins to predict issues, simulate network behavior, and validate automated actions
Develop and operationalize LLM/AI agents, including model selection, tuning, evaluation, tool integration, orchestration, and lifecycle management
Build AI-assisted testing and automation frameworks
Establish responsible automation controls through policy-as-code, human-in-the-loop approvals, blast-radius limits, automated rollback, explainability, and auditability
Design security controls for agentic environments, including agent identity, least-privilege access, token-based authentication, secrets management, credential lifecycle management, and protections against prompt injection and tool misuse
Perform technical troubleshooting and root cause analysis using logs, network KPIs, telemetry, and packet-level diagnostics
Define and measure autonomy outcomes including touchless operations, MTTD/MTTR, false-positive rates, and automated-change success
Influence supplier roadmaps for automation-ready APIs, telemetry, and control points
Represent AT&T in TM Forum, 3GPP SA5, and ETSI ZSM standards organizations
Mentor engineers and establish technical direction across teams adopting AI-driven and autonomous network operations

Requirements

What you’ll need

Deep expertise in telecommunications network architecture and automation, ideally within large-scale Mobile Core environments
Strong understanding of 5G Standalone Core architecture, network functions, protocols, lifecycle management, configuration management, and operational workflows
Demonstrated expertise in TM Forum Autonomous Networks and intent-driven network management
Hands-on experience designing agentic AI and closed-loop automation systems, including LLM-based agents, tool integration, guardrails, evaluation, and governance
Strong background in AIOps, ML-enabled automation, observability, network analytics, and production AI/ML architectures
Ability to bridge traditional network engineering with modern cloud-native software engineering, AI/ML, GitOps, APIs, telemetry, and automation
Experience architecting highly available, scalable distributed systems focused on reliability, performance, security, and operational efficiency
Proven ability to establish technical direction and drive complex, cross-functional engineering initiatives from architecture through production
Strong communication skills and ability to influence engineering, operations, suppliers, standards organizations, and senior leadership
Hands-on, execution-oriented mindset
Extensive experience in network automation, system architecture, AI/ML engineering, or telecom software engineering
Advanced knowledge of 5G SA Mobile Core technologies, protocols, and procedures, including HTTP/2 and mTLS
Hands-on development experience with Python and/or Go
Experience implementing and scaling machine-learning models and AI-enabled applications in production environments
Practical experience with LLMs, agentic AI architectures, AI agents, tool/function integration, guardrails, and model evaluation
Experience building intent-driven and closed-loop automation systems
Demonstrated experience using GitOps for lifecycle management and configuration management
Experience with Git, CI/CD, automated testing, AI-assisted development, debugging, and code management
Experience delivering telecom capabilities on cloud-native platforms
Understanding of network observability, telemetry, event processing, network topology, APIs, and data pipelines
Experience with AI/automation security controls, identity, least-privilege access, authentication, secrets management, and automated policy enforcement
Experience participating in or contributing to TM Forum, 3GPP, ETSI, or comparable telecommunications standards initiatives
Demonstrated ability to lead technically complex initiatives across distributed engineering and operational organizations

Benefits

Comp & perks

Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Parental Leave
Paid Caregiver Leave
Additional sick leave beyond what state and local law require may be available but is unprotected
Adoption Reimbursement
Disability Benefits (short term and long term)
Life and Accidental Death Insurance
Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
Employee Assistance Programs (EAP)
Extensive employee wellness programs
Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone
Long Term Grants and Deferred Compensation
Paid Time Off and Holidays (based on date of hire, at least 28 days of vacation each year and 9 company-designated holidays)