REQ: Lead Architect – AI & Telecom Transformation in Denver, CO (Onsite)

Hi,

 

One of our clients is looking for Lead Architect – AI & Telecom Transformation in  Denver, CO (Onsite)

 

Title: Lead Architect – AI & Telecom Transformation  

Location: Denver, CO (Onsite)

Duration: 12+ Months

 

C2C or W2 Only

 

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 Capgemini.
• 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.