AI Architect - Telecom Network Engineer

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AI Architect - Telecom Network Engineer in USA new

Capgemini
Full time
Email

USA
10/26/2026
Report

Seattle, WA

Responsibilities

Define and execute AI strategy and 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 development of AI products, accelerators, proofs of concept, and operational intelligence solutions.
Support sales, solutioning, bids, proposals, client presentations, executive briefings, workshops, and AI transformation roadmaps through technical leadership and demonstrations.
Develop solutions for incident triage, root cause analysis, predictive insights, automated recommendations, and workflow orchestration.
Integrate engineering knowledge, operational data, telemetry, documentation, and business processes into unified AI and data ecosystems.
Establish architecture standards and governance for scalability, reliability, security, observability, data quality, and responsible AI compliance.
Lead and mentor multidisciplinary teams of AI engineers, data scientists, platform engineers, and telecom domain experts.

Requirements

Deep understanding of wireless telecom network architecture, including RAN, Core, Transport, OSS/BSS, Service Assurance, Network Operations, and Engineering workflows.
Expertise designing solutions with LLMs, RAG, Knowledge Graphs, Vector Databases, Multi-Agent Systems, and AI orchestration frameworks.
Experience building AI-powered solutions for network incident management, root cause analysis, predictive maintenance, anomaly detection, and operational automation.
Strong expertise in Azure, Databricks, Fabric, Snowflake, data engineering, MLOps, LLMOps, APIs, and cloud-native architectures.
Experience creating enterprise knowledge repositories, semantic search capabilities, 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.
Ability to conceptualize, prototype, and demonstrate AI products and accelerators while supporting solutioning, proposals, and client engagements.

Benefits

Base compensation range is $150,000-$180,000 for the posted location.
Comprehensive benefits package for regular, full-time employees, with eligibility determined by local policy.
Paid time off may include 12-25 vacation days depending on employee grade, company holidays, personal days, and sick leave.
Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
Retirement savings plans such as 401(k) in the U.S. or RRSP in Canada.
Life and disability insurance and employee assistance programs.
Location: Seattle, Washington.

Salary: $150k - $180k/yr

Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,...

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