AI Architect - Telecom Network Engineer

Capgemini • Seattle, WA

3d • $101,140 - $182,624

About The Position

Capgemini is seeking an AI Architect - Telecom Network Engineer to define AI strategy and architecture for telecom network engineering, operations, automation, and digital transformation initiatives. The role combines deep wireless telecom network expertise with the design and delivery of AI, generative AI, and agentic AI solutions, including engineering assistants, copilots, knowledge platforms, and operational intelligence systems.

The position involves leading AI product innovation and proof-of-concept development, supporting pre-sales and client engagements, and creating integrated AI and data ecosystems. The architect will establish enterprise architecture standards and governance while leading multidisciplinary teams and helping drive adoption of emerging AI technologies. The role is located in Seattle, Washington.

The posted base compensation range is $101,140 to $182,624. Capgemini states that regular, full-time employees may receive a benefits package that can include paid time off, holidays, personal days and sick leave; medical, dental, and vision coverage; retirement savings plans; life and disability insurance; and employee assistance programs. Eligibility and availability depend on local policy.

Requirements

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

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 network domains.
• Lead development of AI products, accelerators, and proof-of-concepts, rapidly prototyping solutions for business and operational challenges.
• Partner with sales, solutioning, and leadership teams on bids, proposals, client presentations, executive briefings, and AI transformation roadmaps, including technical leadership and demonstrations.
• Develop operational AI solutions for incident triage, root cause analysis, predictive insights, automated recommendations, and workflow orchestration.
• Integrate structured and unstructured engineering knowledge, operational data, telemetry, documentation, and business processes into unified AI and data ecosystems.
• Establish AI 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 domain experts, and drive innovation and adoption of emerging AI technologies.
• Conceptualize, prototype, and demonstrate AI products and accelerators; support solutioning, bids, proposals, executive presentations, and client workshops.
• Create enterprise knowledge repositories, semantic search capabilities, engineering copilots, and intelligent decision-support systems.
• Define architecture blueprints, integration patterns, security standards, AI governance frameworks, and best practices.
• Lead cross-functional teams, influence senior stakeholders, mentor engineers, and drive enterprise AI adoption.

Benefits

• Paid time off, including vacation based on employee grade, company-paid holidays, personal days, and sick leave.
• Medical, dental, and vision coverage, subject to local policy and eligibility.
• Retirement savings plans, such as a 401(k) in the U.S.
• Life and disability insurance.
• Employee assistance programs.
• Additional benefits as provided by local policy and eligibility.

What This Job Offers

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