New opportunity

Gen AI Lead

Capgemini Invent · Bangalore, India

About this role

The Gen AI Lead will build and lead a generative AI practice within Capgemini Invent in Bangalore. The role is responsible for shaping and delivering a portfolio of generative AI solutions and services, aligning technology with business strategy, and developing the team and its project pipeline.

Responsibilities

Define and deliver generative AI solutions for business objectives and client needs, working with industry leaders to achieve engagement and quality outcomes.
Identify, design and secure stakeholder support for new use cases across business areas. Develop a strategy and project pipeline, and advise on enterprise-wide initiatives and their deliverables.
Research advances in generative AI and large language models to continually improve solutions.
Attract, recruit and lead people with relevant skills; manage relationships with internal stakeholders and external partners.

Requirements

A bachelor's degree in IT, Business or a relevant business function, or equivalent qualifications.
At least 15 years of executive experience in IT, including experience specifically in AI and large language models, and at least 5 years of direct people management experience, including growing a technical team and recruiting and retaining talent.
Client-facing experience in an industry or a consulting firm, with account or engagement management experience in professional services; a deep understanding of AI applications in business operations.
Experience managing complex global projects or programs, multiple competing priorities, delivery schedules and budgets. Solution architecture, application portfolio management, and responsibility for project budgets, costs and revenue are also required.

The posting describes the position as permanent.

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 strategyUse case developmentSolution architectureStakeholder managementPeople managementRecruitmentProject managementProgram managementApplication portfolio managementAccount managementEngagement managementBudget management

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

Shape the Gen AI portfolio
The role defines a strategy and project pipeline, develops valuable use cases, and oversees enterprise-wide deliverables. Prepare to explain how you would prioritize use cases against business objectives and client needs.
Deliver effective solutions
The posting calls for a portfolio of Gen AI solutions and services, solution architecture experience, and research into Gen AI and LLM advances. Prepare to describe how you would turn a use case into a solution and decide when an advance warrants a change.
Secure stakeholder and client alignment
The lead must gain buy-in, align technology with business strategy, partner with industry leaders, and draw on client-facing account or engagement management experience. Prepare examples of reconciling differing priorities while protecting engagement and quality outcomes.
Build and lead the practice
Capgemini Invent expects this leader to grow a Gen AI practice, attract and retain talent, and manage a technical team. Prepare to explain how hiring, team development, and the project pipeline would inform one another.
Control complex delivery and financials
The posting specifies complex global programs, competing schedules, application portfolio management, and responsibility for budgets, costs, and revenue. Prepare an example of governing several engagements while tracking delivery and financial commitments.

Likely challenges to think through

Value versus pipeline capacity
Preparation hypothesis: Securing support for new use cases while building a deliverable pipeline may require choosing between promising ideas and available team capacity. Prepare a prioritization approach that makes business value, stakeholder buy-in, and delivery effort explicit.
New advances versus solution quality
Preparation hypothesis: Keeping solutions current with Gen AI and LLM research may compete with consistent delivery outcomes. Prepare to explain how you would assess a new technique before incorporating it into a client solution.
Growth versus delivery commitments
Preparation hypothesis: Recruiting and growing the practice alongside multiple time-sensitive global projects may strain leadership attention and budgets. Prepare to discuss how you would sequence hiring and delegate delivery oversight without losing visibility of costs, revenue, and deadlines.

Practice your answers

Technical practice

How would you decide whether a business problem calls for a generative AI or LLM solution?

What to coverThe role calls for applying AI to business operations and client needs. Preparation suggestion: explain how you would compare the expected benefit with simpler approaches, considering output quality, cost and operational fit.

How would you turn potential generative AI use cases into a prioritized project pipeline?

What to coverThe posting calls for use case development, a strategy and a project pipeline. Preparation suggestion: describe criteria for business value, feasibility and stakeholder support, and how you would decide what to advance or defer.

How would you architect a generative AI solution for a client business objective?

What to coverSolution architecture and delivery of generative AI solutions are stated responsibilities. Preparation suggestion: walk through the major design decisions, how the solution would fit the business workflow, and trade-offs affecting quality, cost and maintainability.

How would you evaluate whether a generative AI solution is ready to deliver?

What to coverThe role is accountable for high-performing solutions and engagement and quality outcomes. Preparation suggestion: distinguish technical measures of output quality from business outcomes, and explain how findings would drive improvements.

How would you assess a new LLM advancement before incorporating it into an existing solution?

What to coverResearching generative AI and LLM advances for continual improvement is part of the role. Preparation suggestion: compare a proposed change against the current solution using relevant quality, cost and delivery criteria rather than adopting it for novelty.

How would you align an enterprise-wide generative AI strategy with business priorities?

What to coverThe posting describes the lead as a strategic IT advisor who directs enterprise-wide strategy projects. Preparation suggestion: explain how you would connect business objectives to a solution portfolio and define deliverables that stakeholders can assess.

How would application portfolio management affect your generative AI solution choices?

What to coverApplication portfolio management and solution architecture are both listed. Preparation suggestion: discuss how existing applications would inform integration, reuse or replacement decisions, including the delivery and maintenance trade-offs.

How would you oversee delivery of several complex global generative AI projects at once?

What to coverThe posting calls for managing complex global programs, competing priorities and delivery schedules. Preparation suggestion: describe how you would track dependencies, surface risks and adjust priorities while protecting agreed outcomes.

How would you manage budgets, costs and revenue across a generative AI project portfolio?

What to coverResponsibility for project financials, including budgets, costs and revenue, is explicit. Preparation suggestion: explain how financial information would inform scope and resource decisions without losing sight of delivery quality.

Behavioural practice

Tell me about a time you grew and retained a technical team.

What to coverThe role includes recruiting, leading and retaining people with relevant skills. Preparation suggestion: use a real situation, the hiring and management actions you took, and the resulting team capability or retention outcome.

Tell me about a time you gained support for a new technology use case.

What to coverThe posting calls for designing new generative AI use cases and gaining stakeholder buy-in. Preparation suggestion: describe the situation, how you addressed differing priorities or objections, and what decision or outcome followed.

Tell me about a time you managed a demanding client engagement.

What to coverClient-facing account or engagement management experience is listed. Preparation suggestion: give a real example with the client objective, your actions to manage expectations and delivery, and the resulting engagement outcome.

Tell me about a time competing projects put a delivery commitment at risk.

What to coverThe role involves multiple time-sensitive projects and delivery within schedule and budget. Preparation suggestion: set out the competing demands, the trade-offs and actions you took, and the measurable result.

Tell me about a time you worked with industry leaders or external partners to deliver a solution.

What to coverThe posting emphasizes partnering with industry leaders and maintaining productive external relationships. Preparation suggestion: explain the situation, how you coordinated responsibilities or resolved differences, and the outcome for delivery or quality.

Sharpen your knowledge

Topics to prepare

Generative AI and LLM solution choices
The posting calls for experience in AI and LLMs, advanced generative AI techniques, and research into new advances. Suggested exercise: compare two approaches to a business use case, explaining expected quality, limitations, and what evidence would justify changing the solution.
Enterprise AI strategy and portfolio prioritization
The role defines a portfolio of solutions and services, advises on enterprise-wide strategy, and creates a project pipeline. Suggested exercise: outline criteria for prioritizing several use cases against business objectives and client needs.
Solution architecture and application portfolios
Solutions architecture and applications portfolio management are explicitly listed. Suggested exercise: sketch how a proposed generative AI solution would fit into an existing application portfolio, including dependencies and architectural trade-offs.
Practice growth and people leadership
The posting calls for building a practice, growing a technical team, and recruiting and retaining talent. Suggested exercise: describe how team capabilities and hiring priorities would change as a pipeline of use cases grows.
Global delivery and project financials
The role requires complex global project or program management, competing schedules, and responsibility for budgets, costs, and revenue. Suggested exercise: reason through how a delivery delay would affect priorities, client commitments, and project financials.

Skills to revise

Frame and secure support for a use case
The role explores, designs, and gains buy-in for valuable use cases across business areas. Suggested exercise: prepare a short use-case proposal stating the business objective, client need, proposed solution, and stakeholder decision required.
Translate a use case into a solution outline
The posting expects definition, development, and delivery of generative AI solutions. Suggested exercise: turn one proposed use case into a delivery outline covering architecture, expected outcome, and how quality would be assessed.
Build a defensible project pipeline
Creating a strategy and project pipeline is an explicit responsibility. Suggested exercise: sequence three hypothetical use cases, stating dependencies, resource constraints, and reasons for their order.
Handle a client engagement discussion
Client-facing account or engagement management experience is required, alongside partnership with industry leaders. Suggested exercise: rehearse explaining a solution's business value, delivery scope, and trade-offs to a client stakeholder.
Plan delivery capacity and financials
The posting names simultaneous project delivery, recruiting and retaining talent, and handling budgets, costs, and revenue. Suggested exercise: draft a high-level capacity and financial plan for two competing engagements, then adjust it for a schedule slip.

Your preparation checklist

Map the role to evidence
The posting asks for 15+ years of executive IT experience, AI/LLM experience, 5+ years of direct people management, and client-facing work. Prepare a one-page evidence map with specific examples for each; leave gaps unclaimed.
Build a Gen AI project walkthrough
The role involves defining and delivering solutions for business objectives. Prepare one project narrative covering the client need, LLM approach, architecture, your decisions, delivery challenges, and measured outcomes where available.
Draft a practice and portfolio plan
The posting calls for building a Gen AI practice and a project pipeline. As an interview exercise, sketch how you would prioritize use cases, align them with business strategy, and turn stakeholder support into a deliverable portfolio.
Rehearse a solution-design exercise
Prepare to diagram a Gen AI solution for a business-operations use case, explaining application-portfolio fit, architecture trade-offs, quality measures, and how new LLM advances would be evaluated. This is preparation, not a stated interview format.
Document team-building decisions
The role includes recruiting, retaining, and leading a technical team. Prepare an example showing hiring or team growth, how you managed competing priorities, and the results you can substantiate.
Quantify delivery and commercial oversight
The posting requires complex global program management, account or engagement management, and responsibility for budgets, costs, and revenue. Prepare a concise example with scope, stakeholders, schedule, financial decisions, and outcomes.
Write targeted questions for the employer
Ask how Capgemini Invent expects this Bangalore role to balance practice-building with client delivery, which use cases are priorities, and how portfolio quality, engagement outcomes, and team growth will be assessed.

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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