New opportunity

Responsible AI Tech Lead

Accenture · Gurugram, India

About this role

Accenture seeks a Responsible AI Tech Lead in Gurugram to design and deploy AI solutions aligned with ethical principles and regulatory requirements. The position is based at its DDC5E - SEZ office. The listing labels the role full-time with 10–12 years of experience, while the detailed requirements specify a minimum of 12 years.

Responsibilities

Lead the development and implementation of ethical AI frameworks and guide teams in building responsible, transparent AI solutions.
Serve as a subject-matter expert, manage the team, make team decisions and help resolve problems affecting multiple teams.
Collaborate across departments on key decisions to align AI initiatives with organizational values, regulatory frameworks and societal expectations.
Promote awareness and training in responsible AI practices, and mentor junior team members.

Requirements

At least 12 years of experience overall, including a stated minimum of 7 years with Microsoft Copilot Studio, which is a must-have skill.
Strong knowledge of AI ethics and regulatory compliance; experience designing and deploying responsible, transparent AI solutions; ability to lead cross-functional projects; and strategic problem-solving skills.
15 years of full-time education.

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

Skills for this role

Microsoft Copilot StudioResponsible AIAI ethicsRegulatory complianceEthical AI frameworksAI solution designAI deploymentCross-functional collaborationTeam leadershipProblem-solving

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

Put responsible AI into practice
The role leads the development and implementation of ethical AI frameworks and designs and deploys responsible, transparent AI solutions. Prepare an example showing how ethical principles shaped a solution from design through deployment.
Demonstrate Microsoft Copilot Studio depth
Microsoft Copilot Studio is the stated must-have skill, and the posting specifies at least seven years of experience with it. Prepare to explain substantive work with the platform and the technical decisions involved, without treating platform proficiency as a substitute for responsible AI judgment.
Lead decisions across teams
The tech lead is expected to act as a subject-matter expert, manage team performance, make team decisions and solve problems spanning multiple teams. Prepare an example that makes the decision, competing considerations and resolution clear.
Build responsible AI capability in others
The posting calls for awareness and training across the organization and guidance for junior team members. Prepare to describe how you have made responsible AI practices understandable and usable by others.

Likely challenges to think through

Balancing innovation with safeguards
Preparation hypothesis: AI deployments may require trade-offs between useful functionality and ethical or regulatory constraints. Prepare to explain how you would identify a concern, choose a proportionate response and make the reasoning transparent.
Reaching alignment across departments
Preparation hypothesis: Teams may weigh organizational values, regulatory requirements and delivery goals differently. Prepare a cross-functional decision example that shows how you handled disagreement while keeping responsibility for the outcome clear.
Making a framework usable in delivery
Preparation hypothesis: A framework can be sound in principle yet difficult for multiple teams to apply consistently. Prepare to explain how you would turn ethical guidance into practical project decisions and help teams adopt it through training and mentoring.

Practice your answers

Technical practice

How would you design a responsible AI solution using Microsoft Copilot Studio?

What to coverThe posting requires Copilot Studio proficiency and experience designing responsible AI solutions. Suggested preparation: explain how you would define the use case, identify potential harms, and make design decisions that support ethical and transparent use.

What would you check before deploying an AI solution?

What to coverThe role includes deploying AI solutions aligned with ethical principles and regulatory requirements. Suggested preparation: describe a pre-deployment review covering intended use, foreseeable misuse, testing evidence, and how unresolved risks would affect a release decision.

How would you turn ethical principles into a framework a project team can use?

What to coverThe posting calls for leading the development and implementation of ethical AI frameworks. Suggested preparation: discuss how to translate principles into decision criteria, project responsibilities, and checks that teams can apply during design and deployment.

How would you assess whether an AI project meets applicable regulatory requirements?

What to coverThe role calls for knowledge of AI-related regulatory compliance but names no specific regulation. Suggested preparation: explain how you would identify applicable obligations, map them to the project, and document evidence of compliance without assuming one rule set applies everywhere.

How would you make an AI solution's behaviour more transparent?

What to coverThe posting explicitly emphasizes transparent AI solutions. Suggested preparation: discuss what users and project stakeholders need to understand about an AI solution's purpose, limitations, and outputs, and how you would check that those explanations are useful.

How would you evaluate an AI solution for responsible use?

What to coverThe role requires designing and deploying AI solutions with a focus on responsibility. Suggested preparation: describe how you would choose tests for the intended use, examine harmful or misleading outcomes, and decide whether the results warrant changes before deployment.

How would you investigate a responsible AI problem affecting multiple teams?

What to coverThe posting expects the tech lead to solve problems that apply across multiple teams. Suggested preparation: explain how you would establish the scope and cause, coordinate evidence from affected teams, and choose between a shared fix and project-specific changes.

How would you handle a trade-off between an AI capability and an ethical concern?

What to coverThe role calls for AI deployments that are innovative and conscientious. Suggested preparation: describe how you would compare the expected value with the potential harm, consider mitigations or a narrower use case, and justify a decision to stakeholders.

Behavioural practice

Tell me about a consequential decision you made while leading a technical team.

What to coverThe posting makes the tech lead responsible for team decisions. Suggested preparation: use a real situation, explain the options and your action, and state the result and what you learned.

Describe a time you resolved a problem shared by several teams.

What to coverThe role expects solutions to problems that apply across multiple teams. Suggested preparation: give the situation, show how you coordinated the teams and reached a decision, and explain the outcome.

Tell me about a time you aligned stakeholders with competing priorities.

What to coverThe posting emphasizes cross-department collaboration and alignment with organizational values and societal expectations. Suggested preparation: describe the disagreement, your actions to surface and address concerns, and the resulting decision.

Describe a time you helped others adopt a responsible technical practice.

What to coverThe role includes promoting awareness and training in responsible AI practices. Suggested preparation: use a real situation, explain how you tailored your guidance and checked understanding, and describe the result.

Tell me about a time you mentored a junior team member through a difficult decision.

What to coverThe posting calls for guiding junior team members and fostering their growth. Suggested preparation: explain the situation, how you supported their reasoning without simply taking over, and what happened afterward.

Sharpen your knowledge

Topics to prepare

AI ethics and transparency
Explicit: the role calls for strong AI ethics knowledge and responsible, transparent solutions. Revise by taking a hypothetical AI assistant and listing potential harms, transparency gaps and design choices that address each one.
Regulatory compliance in AI design
Explicit: AI projects must align with regulatory requirements. Revise by drafting a requirements-to-controls matrix for a hypothetical deployment, leaving jurisdiction-specific rules to be confirmed rather than assuming which regulations apply.
Ethical AI frameworks and governance
Explicit: the lead develops and implements ethical AI frameworks and makes team decisions. Revise by outlining review checkpoints, decision owners and escalation criteria for a project from design through deployment.
Cross-team responsible AI decisions
Explicit: the role resolves problems affecting multiple teams and aligns initiatives with organizational values and societal expectations. Revise by working through a scenario where teams disagree about an AI risk; identify the trade-off, a decision and how to communicate it.

Skills to revise

Build and review in Microsoft Copilot Studio
Explicit must-have skill: proficiency in Microsoft Copilot Studio. In a practice environment, build a small assistant, test representative and problematic queries, then explain what you would change to improve responsible behavior. The posting does not specify a particular feature set.
Design a responsible AI solution
Explicit: the role designs responsible, transparent AI solutions. Draft a short solution design for a hypothetical use case, showing intended users, possible failure modes, transparency measures and how each design choice addresses a risk.
Plan deployment and review
Explicit: the role deploys AI solutions aligned with ethical guidelines and regulatory frameworks. Create a deployment review checklist covering evidence of compliance, unresolved risks, decision owners and follow-up actions; treat the checklist as a preparation exercise, not an Accenture-prescribed process.
Lead a cross-functional review
Explicit: the lead manages collaboration, contributes to key decisions and promotes responsible AI awareness. Rehearse a brief review meeting: present an AI risk, solicit perspectives from affected teams, state a decision and explain it in terms suitable for mentoring junior colleagues.

Your preparation checklist

Map the stated requirements
Prepare a dated experience summary addressing the posting’s minimum 12 years overall, stated minimum 7 years with Microsoft Copilot Studio, and 15 years of full-time education. Include specific Copilot Studio work and your responsibilities; do not assume the listing’s 10–12 year label overrides the detailed minimum.
Build a Copilot Studio project walkthrough
Prepare one real example showing the problem, your design and deployment decisions, your contribution, and how you addressed responsible use and transparency. The posting identifies Copilot Studio as a must-have skill.
Practice a responsible AI design exercise
As interview preparation, sketch how you would identify ethical and regulatory considerations, set controls, and review an AI solution before deployment. Explain your choices without assuming a particular framework or regulation applies to this role.
Document a cross-team leadership example
Prepare a concise account of a decision or problem spanning multiple teams: stakeholders, trade-offs, your decision-making role, resolution, and outcome. The role calls for team decisions and cross-functional collaboration.
Prepare evidence of advocacy and mentoring
Identify a real example of responsible AI guidance, training, or junior-team support. Note what you did and any observable result; these activities appear in the listed responsibilities.
Draft questions for the employer
Ask how the role’s responsible AI frameworks are applied, what decisions the tech lead owns, and how Copilot Studio experience is assessed. Clarify the 10–12 year listing label versus the minimum 12 years in the detailed requirements.

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

KEEP EXPLORING

Similar AI jobs

Related skills and specializations in India. Matched to this role, not your profile.

Explore more jobs

Finding similar opportunities…