AI Architect - Telecom Network Engineer

Capgemini•Seattle, WA
•$150,000 - $180,000•Onsite

About The Position

Capgemini's Insights & Data global business line is seeking a highly technical, hands-on, and implementation-focused AI Architect with Telecom Network Engineering experience. This role involves designing and implementing AI solutions for telecom networks, driving innovation, and supporting pre-sales activities. The ideal candidate will have deep expertise in both telecom network architecture and cutting-edge AI technologies, including Generative AI and Agentic AI.

Requirements

  • 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.

Responsibilities

  • 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.

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility
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