New opportunity

AI Led Telco Transformation Lead

Capgemini Engineering · Gurgaon, India

About this role

As an AI Led Telco Transformation Lead at Capgemini Engineering in Gurgaon, you will act as a senior architecture lead and strategic advisor for Agentic AI-driven telecom transformation across Professional Services and NOC/SOC operations.

Responsibilities

Seed transformation programs by defining the vision, target operating model, technical blueprint, delivery approach, architecture guardrails and measurable outcomes.
Lead customer discovery, requirements design and solution shaping across telecom workflows, service assurance, incident management, automation and autonomous network journeys.
Own technical delivery across architecture, engineering, integration, data, cloud, security, testing, deployment, run readiness and operational adoption.
Drive operations outcomes including MTTR reduction, alert-noise reduction, faster triage, service reliability, efficiency, network resilience and customer experience improvement.
Partner with customers, cloud, product, engineering, network, security and operations teams to deliver secure, scalable, production-ready telecom platforms.
Support GTM, TTM and solution strategy through reusable offerings, accelerators, business cases, estimations, proposals and executive value narratives.
Drive FinOps and commercial governance across cloud consumption, budget tracking, cost optimization, cost-to-serve visibility and KPI value realization.
Provide architecture governance across workstreams and global delivery teams, ensuring domain alignment, data quality, integration feasibility, security compliance and production readiness.
Establish reusable architecture frameworks, delivery playbooks, best practices and innovation patterns for autonomous telecom transformation.

Required qualifications

Deep telecom domain knowledge across OSS/BSS, RAN, Core, IP, Transport, Radio, service assurance, observability, inventory, topology, ITSM and network operations platforms.
Strong architecture capability across cloud-native platforms, integration patterns, data architecture, security, production readiness and large-scale delivery governance.
Strong understanding of strategic KPIs, commercial governance, FinOps, cost-to-serve, budget controls, GTM/TTM strategy and executive value realization.
Proven customer-facing consulting experience with senior leadership stakeholders across business, technology, network, operations, security and product teams.
Excellent leadership, communication, storytelling and decision-making skills, with experience guiding global architecture, engineering and delivery teams.

Preferred qualifications

Public Cloud Professional certification.
Experience with Tier-1 telecom operators.
Familiarity with TM Forum frameworks, OSS modernization, network automation, observability, automation 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 AIOSS/BSSRANCoreIPTransportRadioService AssuranceObservabilityITSMAIOpsFinOpsTM Forum

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

Defining Agentic AI Transformation Vision and Architecture
Seed transformation programs by establishing target operating models, technical blueprints, architecture guardrails, and reusable frameworks for autonomous networks across NOC/SOC operations.
Driving Telecommunications Operations Outcomes
Focus on measurable operational metrics such as reducing Mean Time to Resolution (MTTR), decreasing alert noise, improving incident management triage speed, and enhancing network resilience.
Ensuring Commercial Governance and FinOps Integration
Manage cloud consumption, track budgets, optimize costs, provide cost-to-serve visibility, and align technical architecture with strategic commercial KPIs and value realization.
Stakeholder Engagement and Global Delivery Governance
Lead customer discovery, requirements design, and solution shaping while providing architecture governance across cross-functional workstreams and global engineering teams.

Likely challenges to think through

Bridging Cutting-Edge Agentic AI with Legacy Telecom Infrastructure
Integrating modern autonomous AI frameworks with complex, established telecom environments (OSS/BSS, RAN, Core, Transport) presents integration and data quality hurdles. Prepare by reviewing legacy modernization patterns, AIOps integration strategies, and methods for managing data consistency across distributed network platforms.
Balancing Technical Innovation with Rigorous Commercial FinOps Controls
Aligning high-performance AI architectures with strict cloud budget controls and cost-to-serve metrics can create conflicting priorities. Prepare by discussing how you establish architecture guardrails that factor in cloud consumption costs and demonstrate measurable financial ROI for enterprise clients.
Driving Consensus Across Diverse Global Stakeholder Groups
As a strategic advisor, you must navigate competing priorities among business, technology, network operations, security, and product teams across global environments. Prepare by highlighting your approach to executive storytelling, cross-functional alignment, and governance frameworks that maintain momentum across distributed delivery teams.

Practice your answers

Technical practice

Agentic AI Architectures in Autonomous Networks

What to coverAs a suggested technical practice question, explain how multi-agent AI systems can be structured to automate decision-making loops across telecom network layers such as RAN, Core, and Transport. Discuss how agent coordination handles conflicting network optimization goals while maintaining strict safety and reliability guardrails.

OSS/BSS Modernization and Data Integration

What to coverAs a suggested technical practice question, detail how you would approach integrating modern AIOps and observability platforms with legacy OSS/BSS stacks. Address data quality challenges, event streaming pipelines, and how to maintain topology and inventory accuracy across heterogeneous network domains.

Reducing MTTR and Alert Noise in NOC/SOC Operations

What to coverAs a suggested technical practice question, outline an architectural approach using machine learning and automation to filter alert noise and accelerate root cause analysis in a network operations center. Focus on how automated triage directly impacts MTTR reduction and service reliability.

Cloud FinOps and Commercial Governance for Telecom AI

What to coverAs a suggested technical practice question, explain how you implement FinOps practices and budget tracking controls for large-scale cloud-native AI deployments in telecommunications. Discuss trade-offs between high-availability model inference performance and cost-to-serve visibility.

TM Forum Standards and Open Digital Architecture (ODA)

What to coverAs a suggested technical practice question, discuss the role of TM Forum frameworks and Open APIs in standardizing OSS modernization and network automation initiatives. Highlight how adhering to these standards facilitates interoperability across multi-vendor telecom environments.

Cloud-Native Security and Production Readiness

What to coverAs a suggested technical practice question, describe the security compliance and production readiness validation steps required before deploying autonomous network platforms to production. Address identity management, data privacy, and zero-trust principles across cloud environments.

Designing Reusable Architecture Playbooks and Accelerators

What to coverAs a suggested technical practice question, explain how you design reusable architecture frameworks and delivery playbooks that scale across multiple global client engagements. Discuss how to balance standardization with customization for Tier-1 telecom operators.

Measuring Operational Outcomes and KPI Realization

What to coverAs a suggested technical practice question, outline the metrics and strategic KPIs you would track to measure the success of an AI-driven telco transformation program. Explain how you tie technical telemetry back to executive value narratives and business case realization.

Behavioural practice

Managing Conflicting Stakeholder Priorities in Transformation Programs

What to coverDescribe a situation where you had to align senior stakeholders across business, technology, network operations, and product teams around a unified transformation vision. Use the situation-action-result format to detail how you managed competing objectives and secured executive buy-in.

Guiding Global Delivery Teams Through Complex Technical Challenges

What to coverProvide an example of leading a distributed global architecture and engineering team through a high-stakes technical roadblock during a major platform deployment. Explain your specific role in unblocking the team, ensuring domain alignment, and maintaining project momentum.

Navigating Commercial and Budget Constraints in Solution Design

What to coverShare a scenario where you had to balance an ambitious technical architecture with tight client budget controls and cloud consumption limits. Detail the trade-offs you evaluated, how you implemented cost optimization strategies, and the resulting financial and operational outcome.

Driving Customer Discovery and Shaping Solution Requirements

What to coverRecount an experience leading customer discovery workshops with enterprise leadership to shape complex technical requirements for an automation initiative. Explain how you translated ambiguous operational pain points into structured, actionable solution blueprints.

Sharpen your knowledge

Topics to prepare

Agentic AI and Autonomous Networks in Telecom
Review how multi-agent architectures and autonomous control loops apply to telecommunications operations, including intent-based networking, automated triage, and self-healing network mechanisms across RAN, Core, and Transport layers. Relevance: Directly aligns with leading Agentic AI-driven telecom transformation and building autonomous network journeys.
Telecom OSS/BSS Architecture and Modernization
Study modern Operations Support Systems (OSS) and Business Support Systems (BSS) integration frameworks, service assurance platforms, inventory management, and topology mapping. Relevance: Essential for meeting the required deep telecom domain knowledge across legacy and next-generation operations platforms.
Cloud FinOps and Commercial Governance
Examine cloud cost optimization strategies, cost-to-serve visibility models, budget tracking controls, and aligning technical cloud consumption with strategic executive KPIs. Relevance: Directly supports driving FinOps and commercial governance across cloud resources and budget realization.
TM Forum Frameworks and Industry Standards
Review TM Forum Open APIs, Open Digital Architecture (ODA), and standard telecom reference models. Relevance: Aligns with preferred qualifications for structuring modern OSS modernization and standardized enterprise architecture blueprints.

Skills to revise

Designing AIOps and Observability Pipelines
Exercise: Draft an end-to-end telemetry and observability architecture that ingests streaming logs, metrics, and traces from IT and network elements (ITSM, RAN, Core) to reduce alert noise and accelerate Mean Time to Resolution (MTTR). Relevance: Directly addresses operational outcomes like alert-noise reduction and faster triage in NOC/SOC environments.
Cloud-Native Infrastructure and Integration Pattern Design
Exercise: Design a scalable cloud-native reference architecture incorporating secure integration patterns, API gateways, and data pipelines for high-throughput telecom workloads. Relevance: Matches the required architecture capability across cloud-native platforms, data architecture, and production readiness.
Executive Solution Shaping and GTM Proposal Writing
Exercise: Create a sample executive value narrative and business case presentation outlining how an AI-driven automation accelerator reduces operating costs and improves network resilience for a Tier-1 operator. Relevance: Supports supporting GTM, TTM, solution strategy, and customer-facing consulting discussions with senior leadership.

Your preparation checklist

Map Telecom Architecture and Autonomous Network Frameworks
Review your experience across OSS/BSS, RAN, Core, IP, and Transport domains. Completion looks like having a structured mental model or reference diagram linking multi-agent AI systems to network automation and NOC/SOC operations.
Develop an End-to-End AIOps and Observability Case Study
Prepare a concise walkthrough of how telemetry data, ITSM alerts, and automated triage pipelines reduce MTTR and alert noise. Completion looks like a documented project artifact or slide detailing architecture guardrails, data flows, and operational outcomes.
Formulate a Cloud FinOps and Commercial Governance Strategy
Synthesize examples of managing cloud consumption, tracking budgets, and optimizing cost-to-serve in enterprise deployments. Completion looks like a prepared talking point or brief framework tying technical resource scaling to executive financial KPIs.
Prepare Executive Storytelling and Consulting Narratives
Review past client-facing engagements involving senior leadership across business, technology, and operations. Completion looks like 2-3 structured examples demonstrating how you led customer discovery, shaped solution requirements, and guided global delivery teams.
Draft Thoughtful Questions for the Employer
Prepare targeted inquiries regarding current OSS modernization initiatives, TM Forum adoption, and how cross-functional engineering and security teams collaborate on autonomous telecom platforms at Capgemini Engineering.

Availability last checked: 4 Nov 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

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