AI Architect - Telecom Network Engineer

Capgemini • Seattle, WA

2d • $150,000 - $160,000 • 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 defining and executing AI strategies, designing AI-powered solutions for network operations and engineering, leading AI product innovation, and collaborating with sales and leadership teams. The architect will create unified AI and data ecosystems, establish AI architecture standards, and mentor multidisciplinary teams to drive enterprise AI adoption and continuous innovation.

Requirements

• Deep understanding of wireless network architecture, including RAN, Core, Transport, OSS/BSS, Service Assurance, Network Operations, and Engineering workflows.
• Expertise in designing solutions using LLMs, RAG, Knowledge Graphs, Vector Databases, Multi-Agent Systems, and AI orchestration frameworks.
• Ability to conceptualize, prototype, and demonstrate AI products and accelerators while supporting solutioning, bids, proposals, executive presentations, and client workshops to drive business growth.
• Experience building AI-powered solutions for 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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed