New opportunity

Gen AI Delivery Lead

Capgemini Invent · Gurgaon, India

About this role

The Gen AI Delivery Lead establishes, leads and operates a Delivery Office for transformation projects. The role combines AI architecture, pre-sales, client advisory and enterprise delivery leadership to deliver measurable outcomes aligned with customers’ goals.

Responsibilities

Lead technology-led transformation initiatives, optimizing operational and technology processes and scaling initiatives from their foundation through large-scale growth.
Advise CXOs on GenAI-led solutions, shape deals and oversee delivery and value realization.
Set a clear vision and execute against business measures including bookings, revenue, contribution margin and market recognition.
Manage complex, global projects and competing priorities while maintaining relationships with internal stakeholders and external partners.

Candidate requirements:

A bachelor’s degree in IT, Business or a relevant business function, or equivalent qualifications; at least 15 years of executive IT experience, including experience in AI and large language models.
At least 5 years of direct people management experience, including building technical teams and recruiting and retaining talent. Strong leadership, mentoring, strategic thinking and execution skills are required.
Client-facing industry or consulting experience involving account or engagement management in professional services, and a deep understanding of business applications of AI.
Experience in complex global project or program management, solutions architecture, applications portfolio management, project financials including budgets, costs and revenue, waterfall and agile delivery, and global platform deployments. Candidates must be able to deliver multiple projects on time and within budget.
Strong written and verbal communication, listening, teamwork and presentation skills for working with business functions, Data, IT, Legal, Government Relations, vendors and consultants.

The permanent position is located in Gurgaon.

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

Skills for this role

Generative AILarge Language ModelsAI solutions architectureTechnology-led transformationChange managementDelivery managementProgram managementProject managementPeople managementPre-salesDeal shapingAccount managementApplications portfolio managementProject financial managementAgileWaterfallStakeholder managementExecutive communication

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

Establish and run the Delivery Office
The role is responsible for leading the Delivery Office and executing transformation projects against measurable outcomes aligned with each customer’s vision.
Connect GenAI advice to delivery
The lead advises CXOs, shapes GenAI-led deals and spans AI architecture, pre-sales and enterprise transformation execution. Prepare to explain how a proposed solution becomes a deliverable business outcome.
Own commercial and project results
The posting names bookings, revenue, contribution margin and market recognition, alongside project budgets, costs and revenue. Prepare examples that distinguish commercial commitments from value realized in delivery.
Deliver complex programs at scale
The role calls for multiple global projects delivered on time and within budget, experience with agile and waterfall programs, and global platform deployments.
Build teams and align stakeholders
The lead is expected to grow and mentor technical teams while working across business functions, Data, IT, Legal, Government Relations, vendors and consultants.

Likely challenges to think through

Balancing deal ambition with delivery commitments
A likely challenge, not a reported employer problem: deal shaping can create expectations that strain budgets or delivery capacity. Prepare an example of how you would test scope, costs and measurable outcomes before committing.
Scaling a GenAI solution beyond its foundation
A likely challenge is preserving the intended business impact as an initiative grows across operations and technology. Prepare to discuss architecture and change-management trade-offs during a global rollout.
Resolving competing global priorities
Running several time-sensitive programs while coordinating teams and external parties may force schedule, budget and stakeholder trade-offs. Prepare a concise account of how you would surface conflicts and make decisions across agile and waterfall work.

Practice your answers

Technical practice

Suggested practice question: How would you establish and operate a Delivery Office for transformation projects?

What to coverThe posting makes this a core responsibility. Suggested answer focus: explain how you would set priorities, track delivery and business outcomes, and surface decisions or risks across multiple projects.

Suggested practice question: How would you assess whether an LLM solution is appropriate for a client's business operation?

What to coverThe role calls for AI and LLM experience tied to business impact. Suggested answer focus: compare the proposed use case with the customer's goals, expected value, operational fit and alternatives.

Suggested practice question: What would you consider when architecting a GenAI solution for enterprise delivery?

What to coverThe posting combines AI architecture with delivery leadership. Suggested answer focus: discuss application and data integration, reliability, oversight and the trade-offs between solution complexity and measurable value; these are preparation considerations, not specified design requirements.

Suggested practice question: How would you evaluate whether a GenAI initiative has delivered value?

What to coverThe role is accountable for measurable outcomes aligned with the customer's vision. Suggested answer focus: define a baseline and agreed measures, then explain how you would review results and adjust delivery if expected benefits do not appear.

Suggested practice question: How would you decide which applications in a portfolio to transform first?

What to coverApplications portfolio management and technology-led transformation are stated experience areas. Suggested answer focus: weigh business impact, dependencies, delivery effort and operational disruption, making the prioritization trade-offs clear.

Suggested practice question: How would you plan a platform deployment across global teams?

What to coverThe posting asks for experience deploying platforms globally and managing complex global programs. Suggested answer focus: cover sequencing, cross-team dependencies, local needs and how you would detect and address rollout issues.

Suggested practice question: When would you use agile, waterfall or a combination for a transformation program?

What to coverExperience running both agile and waterfall projects is explicitly requested. Suggested answer focus: explain how uncertainty, dependencies and delivery commitments affect the approach, and how you would keep stakeholders informed as plans change.

Suggested practice question: How would you manage budgets, costs and revenue across several engagements?

What to coverThe posting names project financials, on-time and within-budget delivery, and contribution margin. Suggested answer focus: describe how you would monitor forecasts against actuals, investigate variances and make scope or resourcing trade-offs.

Suggested practice question: How would you shape a GenAI deal without overpromising delivery outcomes?

What to coverThe role spans pre-sales, deal shaping, delivery and value realization. Suggested answer focus: connect the client's goals to a feasible scope, assumptions, commercial measures and a way to validate value.

Suggested practice question: How would you scale a transformation initiative from its foundation to wider adoption?

What to coverThe posting explicitly calls for scaling initiatives and optimizing operational and technology processes. Suggested answer focus: discuss how you would learn from early delivery, address change impacts and decide when the approach is ready to expand.

Behavioural practice

Suggested practice question: Tell me about a time you resolved competing priorities across several time-sensitive projects.

What to coverThe posting emphasizes simultaneous delivery and competing priorities. Use a real situation, your prioritization and communication actions, and the resulting effect on commitments.

Suggested practice question: Describe a time you built or developed a technical team while meeting delivery needs.

What to coverThe role includes recruiting, retaining and mentoring talent. Give the situation, the actions you took as a manager, and the resulting team and delivery outcomes.

Suggested practice question: Tell me about a time you aligned business, Data, IT and other stakeholders on a difficult decision.

What to coverThe posting names cross-functional groups, external partners and the need for listening and presentation skills. Explain the situation, how you handled differing concerns, and what decision or result followed.

Suggested practice question: Describe a time you advised a senior client leader on a transformation decision.

What to coverThe role calls for trusted advice to CXOs and customer-centric outcomes. Set out the client's goal, how you communicated options and trade-offs, and the result without presenting a hypothetical achievement as your own.

Suggested practice question: Tell me about a time you led change when an initiative needed to grow beyond its initial scope.

What to coverThe posting emphasizes change management and scaling transformation initiatives. Use a real situation, the actions you took to bring people and delivery plans along, and the measurable or observable result.

Sharpen your knowledge

Topics to prepare

GenAI and LLM business applications
The posting calls for AI and LLM experience and a deep understanding of their use in business operations. Revision exercise: explain how you would judge whether a proposed GenAI use case improves an operational process and how you would measure the outcome.
AI solutions architecture and application portfolios
Solutions architecture and applications portfolio management are explicit requirements. Revision exercise: compare the architectural and portfolio decisions involved in adding a GenAI capability to an existing business application versus introducing a new application.
Transformation governance and change
The lead establishes and operates a Delivery Office and scales technology-led transformation initiatives. Revision exercise: outline how governance, change management and measures of value would evolve from an initial initiative to a large-scale program.
Global program delivery
The posting specifies complex global projects, global platform deployments, competing priorities, and both waterfall and agile delivery. Revision exercise: explain when you would use each delivery approach and how you would manage dependencies across simultaneous projects.
Commercial outcomes and project financials
The role is accountable for bookings, revenue, contribution margin and market recognition, and requires handling budgets, costs and revenue. Revision exercise: explain the distinction between these measures and how a delivery decision could affect cost, margin and client value.
People and stakeholder leadership
The posting emphasizes growing and mentoring technical teams and working with CXOs, internal functions, partners and vendors. Revision exercise: map who needs to make decisions, provide input or receive updates during a cross-functional transformation.

Skills to revise

Draft an AI solution outline
Suggested practice: write a one-page outline for a hypothetical GenAI business use case covering the customer goal, application-portfolio implications, architecture decisions and measurable outcome. This exercises the role’s AI architecture and client-advisory responsibilities; the example use case is not specified by the employer.
Build a Delivery Office operating plan
Suggested practice: produce a compact plan with decision ownership, milestones, dependency reviews, escalation paths and outcome reporting for two concurrent global projects. Show where agile and waterfall work would be coordinated. This reflects the stated Delivery Office and program-delivery responsibilities.
Work through project financials
Suggested practice: create a hypothetical project budget with costs, revenue and contribution margin, then recalculate it after a scope or timing change. Explain the delivery and commercial trade-offs. The figures are for practice, not posting-specific targets.
Present a CXO deal-shaping case
Suggested practice: prepare a brief spoken proposal connecting a GenAI-led solution to a customer goal, delivery approach and value-realization measure; then answer a challenge about cost or execution risk. This reflects the explicit CXO advisory, pre-sales and deal-shaping work.
Plan team capacity and stakeholder communication
Suggested practice: draft a staffing and communication plan for overlapping time-sensitive projects, including mentoring, recruitment needs and updates for business functions, Data, IT, Legal, Government Relations and external partners. This exercises the stated people-management and cross-functional communication responsibilities.

Your preparation checklist

Build a requirement-to-evidence sheet
The posting specifies 15+ years of executive IT experience including AI and LLMs, 5+ years of direct people management, and client-facing account or engagement management. List specific examples and dates to discuss for each requirement; leave gaps unclaimed.
Prepare a transformation walkthrough
Select a real technology-led initiative and prepare a brief account of the customer goal, your decisions, change-management approach, scale-up, and measured business outcomes. The role is accountable for transformation delivery and value realization.
Sketch a GenAI solution design
For interview practice, choose a hypothetical business use case and draw an architecture showing how it fits an applications portfolio and moves toward enterprise deployment. Explain design trade-offs and how you would validate value; the posting names AI architecture and LLM expertise but prescribes no particular stack.
Outline a Delivery Office operating model
Draft a one-page proposed approach to governance, prioritization, reporting and escalation across simultaneous global projects. Use a real example to explain how you managed deadlines and budgets, including where agile or waterfall delivery was appropriate.
Rehearse a commercial discussion
Prepare a client-facing example covering CXO advice, deal shaping, delivery commitments and project budgets, costs and revenue. Be ready to distinguish measured results from proposals; the posting also names bookings and contribution margin as business measures.
Document people-leadership evidence
Prepare specific examples of building technical teams, recruiting and retaining talent, mentoring direct or indirect teams, and resolving competing priorities. State your own responsibilities and the outcomes you can substantiate.
Bring cross-functional questions
Draft questions about the Delivery Office’s scope, how client value is measured, and how Business, Data, IT, Legal, Government Relations and external partners coordinate. These are questions to ask, not assumptions about Capgemini Invent’s processes.

Availability last checked: 5 Nov 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

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