Jobs and Careers

AI Architect - Telecom Network Engineer

United Statesfull_timeVerifiedPosted 19 Aug 2026

💰 $160,000/yr($150,000/yr – $160,000/yr)

About the role

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Location

Seattle WA

Your Role

Capgemini’s Insights & 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.

Required Skills and Expereince

- 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.

The base compensation range for this role in the posted location is $150,000- $160,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensatio