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# AI Architect - Telecom Network Engineer

- **Company:** Capgemini
- **Location:** Seattle, WA, United States
- **Salary:** $101,140 - $182,624
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Cloud Computing, Cloud Engineering, Information Engineering, Dataspaces, Graph Database, Knowledge Management, Operational Data Store, Software Product Management, Search Technologies, Wireless Networks, Computer Network Operations, Retrieval-Augmented Generation, Large Language Models, Snowflake, Multi-Agent Systems, IT Architecture, Agentic-AI, Build Management, OSS/BSS, Machine Learning Operations, Databricks
- **Published:** October 18, 2026
- **Apply:** https://www.dice.com/job-detail/80084b6f-946f-495c-813d-4c79cc743a1c

## About the Role

Capgemini'sInsights & Data global business line is seeking a highly technical, hands-on, and implementation-focused AI Architect with Telecom Network Engineering expereince.

 - Telecom Network Domain Expertise - Deep understanding of wireless network architecture, including RAN, Core, Transport, OSS/BSS, Service Assurance, Network Operations, and Engineering workflows.
 - AI, GenAI & Agentic AI Architecture - Expertise in designing solutions using LLMs, RAG, Knowledge Graphs, Vector Databases, Multi-Agent Systems, and AI orchestration frameworks.
 - AI Product Innovation & Pre-Sales Leadership - Ability to conceptualize, prototype, and demonstrate AI products and accelerators while supporting solutioning, bids, proposals, executive presentations, and client workshops to drive business growth.
 - Network Operations Intelligence - Experience building AI-powered solutions for incident management, root cause analysis, predictive maintenance, anomaly detection, and operational automation.
 - Data & Cloud Architecture - Strong expertise in Azure, Databricks, Fabric, Snowflake, data engineering, MLOps, LLMOps, APIs, and cloud-native architectures.
 - Knowledge Management & Discovery Platforms - Experience creating enterprise knowledge repositories, semantic search capabilities, engineering copilots, and intelligent decision-support systems.
 - Enterprise Architecture & Governance - Ability to define architecture blueprints, integration patterns, security standards, AI governance frameworks, and best practices.
 - Leadership & Stakeholder Management - Proven ability to lead cross-functional teams, influence senior stakeholders, mentor engineers, and drive enterprise AI adoption.

## Description

Define and execute the AI strategy and architecture roadmap for network engineering, operations, automation, and digital transformation initiatives.

 - Design and build AI-powered engineering assistants and copilots that improve knowledge discovery, troubleshooting, decision-making, and engineer productivity across multiple network domains.
 - Lead the development of AI products, accelerators, and proof-of-concepts, rapidly prototyping innovative solutions to address business and operational challenges.
 - Partner with sales, solutioning, and leadership teams to support bids, proposals, client presentations, executive briefings, and AI transformation roadmaps through technical leadership and compelling demonstrations.
 - Develop intelligent operational solutions for incident triage, root cause analysis, predictive insights, automated recommendations, and workflow orchestration.
 - Create unified AI and data ecosystems by integrating structured and unstructured engineering knowledge, operational data, telemetry, documentation, and business processes.
 - Establish AI architecture standards and governance, ensuring scalability, reliability, security, observability, data quality, and responsible AI compliance.
 - Lead and mentor multidisciplinary teams of AI engineers, data scientists, platform engineers, and domain experts while driving continuous innovation and adoption of emerging AI technologies.