New opportunity

AI Led Telco Transformation Lead

Capgemini · Gurgaon, India

About this role

The AI Led Telco Transformation Lead serves as a senior architecture lead and strategic advisor, driving Agentic AI-driven transformation across telecom professional services and NOC/SOC operations. This role involves defining technical blueprints, target operating models, and delivery approaches to enable autonomous networks and improve operational outcomes such as MTTR reduction and service reliability.

Responsibilities

Act as a strategic advisor for Agentic AI-driven telecom transformation across the build-design-deploy lifecycle.
Define vision, target operating models, technical blueprints, and measurable outcomes for transformation programs.
Lead customer discovery, requirements design, and solution shaping for telecom workflows, service assurance, and incident management.
Own technical delivery across architecture, engineering, cloud, security, and operational adoption.
Drive operational outcomes including alert-noise reduction, faster triage, and network resilience.
Partner with cross-functional teams including cloud, product, engineering, and security to deliver production-ready platforms.
Support GTM and solution strategy through business cases, proposals, and executive value narratives.
Drive FinOps and commercial governance, including budget tracking and cost-to-serve visibility.
Provide architecture governance and establish reusable frameworks, playbooks, and best practices.

Required qualifications

Deep telecom domain knowledge across OSS/BSS, RAN, Core, IP, Transport, and network operations platforms.
Strong architecture capability in cloud-native platforms, integration patterns, and large-scale delivery governance.
Understanding of strategic KPIs, commercial governance, FinOps, and executive value realization.
Proven customer-facing consulting experience with senior leadership stakeholders.
Excellent leadership, communication, and decision-making skills with experience guiding global teams.

Preferred qualifications

Public Cloud Professional certification.
Experience with Tier-1 telecom operators.
Familiarity with TM Forum frameworks, OSS modernization, network automation, observability, and AIOps platforms.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

Agentic AIAutonomous NetworksTelecom TransformationOSS/BSSCloud-native platformsData architectureFinOpsAIOpsNetwork automationService assuranceITSMArchitecture governance

Checking your profile…

Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.

Understand the role

What matters most

Agentic AI Integration for NOC/SOC Operations
The core mandate is to drive autonomous network transformation. You must demonstrate how to architect Agentic AI solutions that specifically address MTTR reduction, alert-noise suppression, and faster triage within complex NOC/SOC environments.
Strategic Architecture and Target Operating Models
You are expected to define the technical blueprints and operating models for large-scale telecom transformation. This requires balancing high-level strategic vision with the practicalities of cloud-native integration, data quality, and security compliance.
Commercial Governance and FinOps Leadership
Beyond technical delivery, you must own the financial aspects of the transformation. This includes managing cloud consumption, tracking budgets, and providing visibility into cost-to-serve metrics to ensure the program delivers measurable executive value.
Stakeholder Management and GTM Support
You must act as a strategic advisor to senior leadership. This involves translating complex technical requirements into compelling business cases and executive narratives to support GTM strategies and secure project buy-in.

Likely challenges to think through

Bridging Legacy Telecom Infrastructure with Cloud-Native AI
Integrating modern Agentic AI with legacy OSS/BSS, RAN, and Core network systems is inherently difficult. Prepare to discuss how you manage technical debt and integration patterns while ensuring production-ready reliability in a brownfield environment.
Balancing Innovation with Operational Stability
Driving autonomous network transformation risks disrupting critical service assurance. The challenge is to implement aggressive automation while maintaining network resilience; prepare to explain your approach to phased deployment and risk-mitigation frameworks.
Aligning Global Delivery Teams with Localized Requirements
As a lead for global teams, you face the difficulty of maintaining consistent architecture governance across diverse workstreams. Prepare to discuss how you establish reusable playbooks and frameworks that remain flexible enough for specific customer needs.

Practice your answers

Technical practice

Agentic AI in Telecom NOC/SOC Operations

What to coverExplain how you would architect an Agentic AI solution to improve MTTR and reduce alert noise in a NOC/SOC environment. Focus on the integration of AI agents with existing OSS/BSS platforms and the necessary guardrails for autonomous decision-making.

Cloud-Native Architecture for Autonomous Networks

What to coverDescribe the key components of a cloud-native architecture required to support autonomous network operations. Address how you ensure scalability, security, and production readiness when deploying these platforms across RAN, Core, and Transport domains.

FinOps and Commercial Governance in AI Transformation

What to coverHow do you implement FinOps practices to manage cloud consumption and cost-to-serve in large-scale AI-driven telecom projects? Discuss the metrics you use to track value realization against initial business cases.

Integration Patterns for OSS Modernization

What to coverDiscuss the integration patterns you would employ to modernize legacy OSS/BSS systems while introducing AI-driven automation. Focus on data quality, interoperability, and maintaining service assurance during the transition.

Architecture Governance and Reusable Frameworks

What to coverHow do you establish architecture governance and reusable playbooks for global delivery teams? Explain how you ensure consistency across diverse workstreams while allowing for innovation in autonomous network journeys.

Service Assurance and Observability Strategy

What to coverDetail your approach to designing an observability strategy that supports AIOps platforms. Explain how you correlate data from inventory, topology, and ITSM systems to drive faster triage and network resilience.

TM Forum Frameworks Application

What to coverProvide an example of how you have applied TM Forum frameworks (such as eTOM or SID) to structure a telecom transformation program. Suggestion: Prepare to discuss how these standards align with modern cloud-native and AI-driven delivery models.

Security in Autonomous Telecom Platforms

What to coverWhat are the primary security considerations when deploying Agentic AI within a telecom network? Address how you balance the need for autonomous operational speed with strict security compliance and production readiness requirements.

Behavioural practice

Managing Senior Stakeholder Expectations

What to coverDescribe a situation where you had to present a complex AI transformation strategy to senior leadership. How did you translate technical blueprints into executive value narratives and secure buy-in for the proposed target operating model?

Leading Cross-Functional Global Teams

What to coverGive an example of leading a global, cross-functional team through a challenging delivery phase. How did you ensure alignment between cloud, engineering, and operations teams to meet project milestones?

Handling Transformation Resistance

What to coverDescribe a time when you encountered resistance to adopting a new autonomous network approach. What steps did you take to demonstrate the operational benefits and gain the trust of the operations teams?

Navigating Complex Requirements Discovery

What to coverTell me about a time you led a customer discovery process for a large-scale telecom project. How did you manage conflicting requirements from business, network, and security stakeholders to define a viable solution?

Sharpen your knowledge

Topics to prepare

Agentic AI in Telecom Operations
Focus on the shift from traditional automation to Agentic AI for NOC/SOC workflows. Exercise: Draft a conceptual architecture diagram showing how AI agents can autonomously handle incident triage and MTTR reduction in a virtualized network environment. This is critical for the role's focus on autonomous network transformation.
FinOps and Commercial Governance
Understand the intersection of cloud consumption and telecom cost-to-serve. Exercise: Create a framework for tracking cloud-native infrastructure costs against specific network service KPIs. This is relevant to the requirement for driving budget control and executive value realization.
TM Forum Frameworks and OSS Modernization
Review TM Forum standards (e.g., Open API, SID) in the context of modernizing legacy OSS/BSS. Exercise: Map a legacy incident management process to a modern, automated workflow using TM Forum standards. This aligns with the preferred qualification for OSS modernization.

Skills to revise

Cloud-Native Architecture Design
Demonstrate proficiency in designing scalable, secure platforms for telecom. Exercise: Design a high-level integration pattern for a cloud-native observability platform that connects with existing RAN and Core network data sources. This addresses the core architecture capability requirement.
Executive Value Narrative Development
Translate technical transformation into business outcomes. Exercise: Prepare a 3-slide executive pitch that links a specific AI-driven network automation project to measurable business KPIs like cost-to-serve and service reliability. This is essential for the GTM and consulting aspects of the role.
Large-Scale Delivery Governance
Manage complex, multi-workstream delivery. Exercise: Define a set of 'architecture guardrails' for a global team to ensure consistency in data quality and security compliance across a multi-year transformation program.

Your preparation checklist

Develop an Agentic AI Telecom Framework
Create a high-level architectural blueprint demonstrating how Agentic AI can be applied to NOC/SOC operations to reduce MTTR and noise. Focus on the integration between AI agents and existing OSS/BSS or network management platforms.
Prepare a FinOps and Value Realization Case Study
Draft a structured narrative or presentation slide deck that explains how you would track cloud consumption and cost-to-serve in a large-scale telecom transformation, linking technical KPIs to executive-level business value.
Map Experience to TM Forum and Cloud-Native Standards
Document specific instances where you utilized TM Forum frameworks or cloud-native patterns to modernize legacy network operations, ensuring you can articulate your role in the build-design-deploy lifecycle.
Formulate Strategic Questions for Stakeholders
Prepare targeted questions regarding Capgemini's current approach to autonomous network maturity, their preferred GTM accelerators for telecom clients, and how they balance security compliance with rapid AI deployment.
Refine Executive Storytelling for Consulting
Practice articulating complex technical delivery challenges—such as data quality or integration feasibility—into concise executive narratives that emphasize leadership, decision-making, and cross-functional collaboration.

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