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AI Architect - Telecom Network Engineer (AI)

150 000 - 160 000$
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
AI Architect - Telecom Network Engineer (AI): Designing AI-powered architecture and engineering assistants for telecom network operations with an accent on generative AI, network intelligence, and cloud-native data ecosystems. Focus on building copilots and operational automation, integrating engineering knowledge and telemetry, and establishing scalable, secure, and governed AI architectures.

Location: Seattle, WA, United States

Salary: $150,000–$160,000 per year

Company

Capgemini is a global business and technology transformation partner delivering strategy, design, engineering, AI, cloud, and data solutions across more than 50 countries.

What you will do

  • Define and execute AI architecture roadmaps for telecom network engineering, operations, automation, and digital transformation.
  • Design and build AI-powered engineering assistants and copilots for knowledge discovery, troubleshooting, decision-making, and engineer productivity.
  • Lead the development of AI products, accelerators, and proof-of-concepts, including rapid prototyping and demonstrations.
  • Support bids, proposals, client presentations, executive briefings, workshops, and AI transformation roadmaps with technical leadership.
  • Develop intelligent solutions for incident triage, root cause analysis, predictive maintenance, recommendations, and workflow orchestration.
  • Lead multidisciplinary teams and establish scalable, secure, observable, and responsible AI architecture standards and governance.

Requirements

  • Deep expertise in wireless telecom network architecture, including RAN, Core, Transport, OSS/BSS, service assurance, network operations, and engineering workflows.
  • Experience designing solutions with LLMs, RAG, knowledge graphs, vector databases, multi-agent systems, and AI orchestration frameworks.
  • Strong knowledge of Azure, Databricks, Fabric, Snowflake, data engineering, MLOps, LLMOps, APIs, and cloud-native architectures.
  • Experience building enterprise knowledge repositories, semantic search platforms, engineering copilots, and intelligent decision-support systems.
  • Ability to define architecture blueprints, integration patterns, security standards, AI governance frameworks, and best practices.
  • Proven ability to lead cross-functional teams, influence senior stakeholders, mentor engineers, and drive enterprise AI adoption.

Culture & Benefits

  • Permanent full-time position for experienced professionals.
  • Paid vacation of 12–25 days depending on employee grade, plus company holidays, personal days, and sick leave.
  • Medical, dental, and vision coverage.
  • Retirement savings plans, including 401(k) in the United States.
  • Life and disability insurance and employee assistance programs.

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