Lead Architect – AI & Telecom Transformation

Denver, CO, United States (On-site)

Contract (1 year 1 month 23 days)

Published 20 days ago

stakeholder management

aiops

OSS/BSS

network automation

knowledge management

AWS Cloud Architecture

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:

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

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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.

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

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

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

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

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

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

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

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

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

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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:

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

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Strong customer handling, consulting and stakeholder management experience.

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

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

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Strong experience delivering AI-driven transformation and automation programs.

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

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

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Experience defining enterprise solution architectures and transformation roadmaps.

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

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Strong presales, solutioning, estimation and proposal development capabilities.

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Experience leading global onsite-offshore delivery teams.

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Excellent communication, presentation, leadership and executive engagement skills.

Preferred Qualifications:

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AWS Solution Architect Certification or similar AWS certification.

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Experience working with Tier-1 telecom operators.

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Knowledge of TM Forum frameworks, telecom and network automation.

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

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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.