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# Principal AI Systems Architect

- **Company:** Ericsson
- **Location:** Plano, TX, United States
- **Contract:** Permanent contract
- **Skills:** Microsoft Access, Artificial Intelligence, Cloud Computing, Code Review, Continuous Integration, Customer Data Management, Data Governance, Python (Programming Language), Microsoft Software, Network Functions Virtualization, Workflow Management Systems, Computer Network Operations, Retrieval-Augmented Generation, Large Language Models, HybridCloud, Agentic-AI, AI Platforms, Git Flow, Kubernetes, Virtual Agents, Open Network Automation Platform, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=fdc4ef60f2efe73b

## About the Role

* Hands-on experience building, deploying, and operating production AI systems, such as applications using large language models, AI agents, or retrieval-augmented generation. This includes evaluation, monitoring, reliability, security, and data governance.
 * Ability to write and review code, with experience in Python, AI agent and workflow tools, and enterprise cloud environments.
 * Working knowledge of Kubernetes, GitOps, continuous integration and delivery, and cloud-based network functions.
 * Knowledge of customer data controls, including access, data location, retention, masking, and governance.
 * Experience delivering in large enterprise IT environments with multiple teams, evolving platforms, and layered governance.
 * Ability to assess complex systems, make evidence-based decisions, and explain technical choices in business terms and business needs in practical terms.
 * Ability to collaborate constructively with distributed teams and build shared accountability.
 * Experience in telecommunications, network automation, service reliability, customer operations platforms, Microsoft technologies, or multi-team AI development is an asset.
 * AI is becoming core to how we build and deliver at Ericsson. We're seeking talent who are ready to learn, adapt, and develop the skills needed to thrive in an AI-enabled future.

## Description

Guide the design and use of AI in Core Networks delivery across the Americas, improving solution design, delivery, and operations on shared platforms while meeting customer data requirements.

Spend roughly 30% of your time building with delivery squads-agents, data pipelines, evaluation sets, and reference implementations in real delivery environments. Use the remaining time to align teams on shared-platform architecture: what should be common or domain-specific, what production-ready means, and how customer requirements are met.

This is a hands-on architecture role accountable for production outcomes-not people or program management, unaccountable advisory work, or slide-deck-only architecture. Global teams own the enterprise AI platform; you guide its application to Core Networks delivery. Production AI shipping experience is required; without it, this is not the right role., * Take agents from pilot to production by developing evaluation methods, improving reliability, defining monitoring and operating procedures, and supporting handover.

 * Decide which delivery steps should use AI, be redesigned, or remain unchanged, and select suitable approaches from available platforms.
 * Define what should be shared across teams and what should be specific to a domain. Set quality and production-readiness expectations.
 * Establish data and knowledge requirements, including sources and formats, and define customer data controls for access, location, retention, and masking.
 * Work with customer and Core Networks specialists to ensure solutions reflect network operations and connect effectively with customer systems.
 * Set safeguards for automated actions, including policy controls, human review where needed, and rollback procedures. Maintain a record of technical decisions.
 * Raise risks, dependencies, and platform needs early, with recommendations for addressing them., DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.