AI Architect
Bellevue, Washington, United States
Job Description
Key Responsibilities:
Telecom Network Expertise:
- Design AI-powered assistants, copilots, and agents to improve knowledge discovery, troubleshooting, and engineering productivity.
- Lead the development of AI products, accelerators, and proof-of-concepts (PoCs) addressing business and operational challenges.
- Build intelligent solutions for incident triage, RCA, predictive insights, automated recommendations, and workflow orchestration.
- Lead and mentor AI engineers, data scientists, data engineers, software engineers, and domain experts.
- Integrate structured and unstructured data, telemetry, documentation, and operational knowledge into unified AI platforms.
- Establish AI architecture, governance, security, observability, and responsible AI standards.
- Support solution design, bids, proposals, client presentations, executive briefings, and AI transformation initiatives through technical leadership.
Telecom Network Expertise:
- Strong understanding of RAN, Core, Transport, OSS/BSS, Service Assurance, Network Operations, and Engineering domains.
- Expertise in LLMs, Retrieval-Augmented Generation (RAG), Knowledge Graphs, Vector Databases, Multi-Agent Systems, and AI orchestration frameworks.
- Experience building AI solutions for incident management, root cause analysis (RCA), anomaly detection, predictive maintenance, and operational automation.
- Expertise in Azure, Fabric, Databricks, Snowflake, data engineering, MLOps, LLMOps, APIs, and microservices.
- Experience with semantic search, engineering copilots, enterprise knowledge repositories, and decision-support systems.
- Define architecture standards, integration patterns, security controls, and AI governance frameworks.
- Lead cross-functional teams, mentor engineers, and drive enterprise-wide AI adoption.
- Develop AI accelerators and support solution design, proposals, executive engagements, and client workshops.
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Career Focus: Artificial Intelligence
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