Lead Architect – AI & Telecom Transformation

Capgemini

Denver (CO)

On-site

USD 61,000 - 95,000

Full time

2 days ago
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Benefits offered by this job

Medical benefits
Dental benefits
Vision benefits
Retirement benefits

Job summary

Tundra Technical Solutions is seeking a Lead Architect for AI and telecom transformation. You will drive large-scale NOC/SOC modernization, shape solution roadmaps and define AWS-based architectures while guiding executive stakeholders.

The role demands deep telecom domain expertise, hands-on AI/GenAI knowledge, and strong customer-facing leadership. Expect global onsite-offshore delivery oversight and a focus on measurable operational improvements.

Qualifications

  • 15+ years of experience in Telecom, AI Automation and Digital Transformation.
  • Strong customer handling, consulting and stakeholder management experience.
  • Proven experience leading customer workshops, discovery sessions and requirements discussions.
  • Deep telecom domain expertise across OSS/BSS, NOC, Service Assurance, Provisioning and Operations.
  • Strong AWS architecture, cloud migration, modernization and transformation experience.

Responsibilities

  • Serve as the primary onsite Lead Architect for Agentic AI-driven telecom transformation across NOC, SOC, network operations, service assurance and incident management domains.
  • Lead customer workshops and discovery sessions to assess current-state NOC/SOC operating models, alarm flows, ticket lifecycles, triage processes, escalation paths and operational pain points.
  • Define Agentic AI-driven solution architectures for alarm correlation, event deduplication, anomaly detection, root-cause analysis, incident enrichment, ticket automation and closed-loop remediation.
  • Drive operational transformation outcomes including MTTR reduction, alert-noise suppression, faster triage, improved fault isolation, proactive incident prevention and better customer experience.
  • Translate network and operations challenges into scalable architectures spanning OSS, service assurance, observability, telemetry, ITSM, knowledge management and automation platforms.
  • Design integration patterns for alarms, events, incidents, topology, inventory, logs, metrics, traces and operational knowledge across telecom NOC/SOC ecosystems.
  • Partner with AWS, customer network teams, operations teams and engineering stakeholders to design secure, scalable and cloud-native Agentic AI telecom platforms.
  • Develop NOC/SOC transformation roadmaps, target-state operating models, automation backlogs, use-case prioritization and phased implementation strategies.
  • Lead solutioning, PoCs, end-to-end technical delivery and executive presentations focused on operational efficiency, service reliability and measurable business outcomes.
  • Provide architecture governance across onsite and offshore teams, ensuring operational use cases are aligned with telecom processes, data quality, integration feasibility and production-readiness.

Skills

Telecom expertise
AI automation
AWS architecture
Stakeholder management
Solutioning & pre-sales
Global onsite-offshore delivery
Executive engagement
Leadership & communication

Job description

Lead Architect – AI & Telecom Transformation (Contract)

Contract (1 year 1 month 23 days)

Published 2 days ago

OSS/BSS

knowledge management

Telecom Operations

We are looking for a customer-facing Lead Architect to drive Agentic AI-driven telecom transformation programs (large scale NOC / SOC / Operations, etc.), leading customer workshops, shaping solution roadmaps, defining AWS-based architectures and advising business, technology and executive stakeholders.

Key Responsibilities:

Serve as the primary onsite Lead Architect for Agentic AI-driven telecom transformation across NOC, SOC, network operations, service assurance and incident management domains.

Lead customer workshops and discovery sessions to assess current-state NOC/SOC operating models, alarm flows, ticket lifecycles, triage processes, escalation paths and operational pain points.

Define Agentic AI-driven solution architectures for alarm correlation, event deduplication, anomaly detection, root-cause analysis, incident enrichment, ticket automation and closed-loop remediation.

Drive operational transformation outcomes including MTTR reduction, alert-noise suppression, faster triage, improved fault isolation, proactive incident prevention and better customer experience.

Translate network and operations challenges into scalable architectures spanning OSS, service assurance, observability, telemetry, ITSM, knowledge management and automation platforms.

Design integration patterns for alarms, events, incidents, topology, inventory, logs, metrics, traces and operational knowledge across telecom NOC/SOC ecosystems.

Partner with AWS, customer network teams, operations teams and engineering stakeholders to design secure, scalable and cloud-native Agentic AI telecom platforms.

Develop NOC/SOC transformation roadmaps, target-state operating models, automation backlogs, use-case prioritization and phased implementation strategies.

Lead solutioning, PoCs, end-to-end technical delivery and executive presentations focused on operational efficiency, service reliability, network resilience and measurable business outcomes.

Provide architecture governance across onsite and offshore teams, ensuring operational use cases are aligned with telecom processes, data quality, integration feasibility and production-readiness.

Collaborate closely with Offshore teams, business, network, security, operations, product and engineering stakeholders throughout the transformation lifecycle.

Mentor architects and technical teams on Agentic AI-driven telecom patterns, NOC/SOC automation design, observability-led operations and architecture best practices.

Required Skills & Experience:

15+ years of experience in Telecom, AI Automation and Digital Transformation.

Strong customer handling, consulting and stakeholder management experience.

Proven experience leading customer workshops, discovery sessions and requirements discussions.

Deep telecom domain expertise across OSS/BSS, NOC, Service Assurance, Provisioning and Operations.

Strong experience delivering AI-driven transformation and automation programs.

Hands‑on understanding of AI, GenAI, Agentic AI, AIOps and intelligent automation platforms.

Strong AWS architecture, cloud migration, modernization and transformation experience.

Experience defining enterprise solution architectures and transformation roadmaps.

Ability to engage with leadership level stakeholders – both Customer and company.

Strong presales, solutioning, estimation and proposal development capabilities.

Experience leading global onsite‑offshore delivery teams.

Excellent communication, presentation, leadership and executive engagement skills.

Preferred Qualifications:

AWS Solution Architect Certification or similar AWS certification.

Experience working with Tier‑1 telecom operators.

Knowledge of TM Forum frameworks, telecom and network automation.

Experience in large‑scale cloud, AI and telecom transformation programs.

Exposure to observability, automation and AIOps platforms.

The pay range that the employer in good faith reasonably expects to pay for this position is $43.92/hour - $68.62/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.

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