Capgemini

AI Architect - Telecom Network Engineer

Capgemini$150K — $160K *
Telecommunications & Hardware
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in telecom network engineering and AI architecture
  • Deep expertise in wireless network architecture including various domain components
  • Proficiency in designing solutions utilizing advanced AI technologies and architectures
  • Experience in driving AI product innovation and pre-sales leadership initiatives
  • Strong background in data engineering and cloud architecture, particularly with Azure and similar platforms
  • Ability to establish governance standards and best practices for AI and data architecture
  • Proven track record in leading cross-functional, multidisciplinary technology teams

Responsibilities

  • Define and implement the AI strategy and architecture for telecom network operations
  • Design AI-powered engineering tools to enhance decision-making and productivity
  • Lead the development of innovative AI products and proof-of-concept solutions
  • Collaborate with various teams to support technical bids and executive sales presentations
  • Develop intelligent solutions for operational challenges like incident management and predictive maintenance
  • Create cohesive data ecosystems by integrating diverse operational knowledge and data sources
  • Establish architecture governance to ensure scalability, security, and compliance in AI implementations
  • Mentor and lead cross-functional teams in AI technology adaptation and innovation

Benefits

  • Paid time off including vacation days, sick leave, and personal days
  • Comprehensive medical, dental, and vision coverage
  • Retirement savings plans, including a 401(k) in the U.S. and RRSP in Canada
  • Life and disability insurance options
  • Access to employee assistance programs
  • Additional benefits as determined by local policy and eligibility
Full Job Description
Location

Seattle WA

Your 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.

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 compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
  • 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

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

About Capgemini

Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The company is headquartered in Paris, France and operates in over 50 countries. Capgemini provides a range of services including strategy and transformation, application services, technology services, and engineering services. The company serves clients in a variety of industries including automotive, consumer products, financial services, healthcare, and retail.
Learn more about Capgemini
Industry
Founded
1967
NASDAQ

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