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AI Native Software Engineer

Accenture · Hyderabad, India

About this role

Accenture seeks an AI Native Software Engineer in Hyderabad to build and ship production-ready enterprise software using AI throughout the engineering lifecycle. The role combines Generative and Agentic AI solution delivery with support for critical business applications and ServiceNow IT Service Management (ITSM).

Responsibilities

  • Design, develop and deliver AI-driven solutions that address business challenges, automate processes and integrate intelligent insights into enterprise workflows. Develop and validate solutions while maintaining quality, compliance and responsible AI use.
  • Investigate and resolve incidents across business systems; monitor and maintain applications to support reliability and performance. Document solutions, share knowledge and help establish application-support best practices.
  • Work independently as a subject-matter expert, contribute to team discussions and problem-solving, and communicate with stakeholders about their needs and issue resolution.

Requirements

  • A minimum of 7.5 years of overall experience and 15 years of full-time education. The posting also specifies at least 3 years of experience in ServiceNow ITSM.
  • Proficiency in ServiceNow ITSM; a strong grasp of Generative AI, Agentic AI, prompt engineering and AI evaluation frameworks; and the ability to align AI capabilities with business objectives, scalability, responsible use and measurable value.
  • Experience with incident management and service request fulfillment, familiarity with ITIL, strong analytical and troubleshooting skills, and effective teamwork and stakeholder communication.

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

Skills for this role

Generative AIAgentic AIPrompt engineeringAI evaluationServiceNow IT Service ManagementIncident managementService request fulfillmentITILApplication supportStakeholder communicationProblem-solving

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Get interview-ready for this role

A focused preparation guide, built around this job’s responsibilities and requirements.

✦ AI-generated guide
Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.
01

Understand the role

What matters most

  • Deliver business-focused AI solutions

    The role leads the design and delivery of Generative and Agentic AI solutions that automate processes and bring insights into enterprise workflows. Prepare to explain how you would connect an AI use case to a business objective and measurable impact.

  • Build production-ready AI responsibly

    The posting calls for AI-native development and validation, including prompt engineering and AI evaluation, while maintaining quality, compliance, scalability and responsible use. Prepare an example of how you would test an AI solution before release and monitor its value afterward.

  • Keep critical applications reliable

    Application support includes investigating incidents across system components, proactive monitoring, maintenance, documentation and knowledge sharing. ServiceNow ITSM is the required skill; incident management, service request fulfillment and ITIL are also named. Prepare to describe a structured troubleshooting and resolution approach.

  • Operate independently and communicate clearly

    The role expects independent work toward subject-matter expertise, contributions to team problem-solving, application-support best practices and regular stakeholder updates. Prepare an example that shows how you explained a technical issue and its resolution to different stakeholders.

Likely challenges to think through

  • Balancing delivery with live support

    Preparation hypothesis: leading new AI solutions while supporting critical applications may create competing demands between planned delivery and urgent incidents. Think through how you would prioritize, communicate changes and protect the quality of both.

  • Proving value without relaxing safeguards

    Preparation hypothesis: a promising GenAI or agentic workflow may be difficult to scale while preserving quality, compliance and responsible use. Prepare to discuss evaluation criteria, failure cases and how you would decide whether a solution is ready for production.

  • Diagnosing issues across multiple components

    Preparation hypothesis: incidents spanning business systems may have unclear causes, while stakeholders still need timely updates. Prepare a troubleshooting example that separates evidence from assumptions and shows when you would involve other teams.

03

Practice your answers

Technical practice

How would you take an AI-driven solution from design to production?

What to coverThe role calls for production-ready software, solution validation, quality and compliance. Suggested preparation: explain how you would define the business problem, validate the solution before release and monitor whether it continues to work as intended.

When would you use Generative AI rather than an agentic approach?

What to coverThe posting calls for both Generative and Agentic AI to automate processes and add insights to enterprise workflows. Suggested preparation: compare the degree of autonomy each approach needs, the controls it requires and whether the added complexity delivers business value.

How would you design and improve prompts for an enterprise task?

What to coverPrompt engineering is explicitly listed among the required technical skills. Suggested preparation: discuss task clarity, constraints, representative test cases and how you would identify and address inconsistent outputs.

How would you evaluate whether an AI solution is ready to deploy?

What to coverThe posting specifies AI evaluation frameworks and validation of solutions. Suggested preparation: describe evaluation criteria tied to the intended task, how you would examine failures and what evidence would support a release decision.

What responsible-use and compliance concerns would you address in an AI workflow?

What to coverThe role explicitly requires responsible AI use and compliance alongside quality. Suggested preparation: discuss how you would assess risks, put appropriate controls around outputs and validate that the workflow meets its intended constraints.

How would you balance scalability against measurable business value in an AI solution?

What to coverThe posting asks for scalable AI capabilities aligned with business objectives and tangible value. Suggested preparation: explain which outcome you would measure and how you would weigh operating complexity and performance against that outcome.

How would you manage an incident involving a ServiceNow ITSM-supported business application?

What to coverServiceNow ITSM proficiency and incident management are stated requirements. Suggested preparation: walk through triage, impact assessment, investigation, resolution updates and verification that service has recovered.

How would you handle service request fulfillment using ITIL principles?

What to coverThe posting calls for service request fulfillment experience and familiarity with ITIL in service management. Suggested preparation: distinguish a request from an incident and explain how you would manage fulfillment, communication and closure.

How would you diagnose a recurring issue across components of a critical business system?

What to coverThe application-support duties include troubleshooting across multiple components and proactive monitoring and maintenance. Suggested preparation: describe how you would use symptoms and monitoring evidence to narrow the cause, test a fix and check for recurrence.

What would you document after resolving an application-support issue?

What to coverThe role includes documenting solutions, sharing knowledge and helping develop support best practices. Suggested preparation: identify the diagnostic findings, resolution steps and follow-up information that would help others handle a similar issue.

Behavioural practice

Tell me about a time you took independent ownership of a complex technical problem.

What to coverThe role expects independent work and subject-matter expertise. Suggested preparation: use a real situation, explain the decisions and actions you owned, and state the result without overstating your contribution.

Describe a time you worked with other teams to resolve an application incident.

What to coverThe posting describes cross-team troubleshooting to keep business operations running. Suggested preparation: give the situation and impact, explain how you coordinated investigation and resolution, and report the outcome.

Tell me about a time you kept stakeholders informed while an issue was being resolved.

What to coverRegular stakeholder communication about needs and resolution progress is part of the role. Suggested preparation: describe the situation, how you tailored and timed your updates, and what resulted from that communication.

Describe a time your contribution to a team discussion changed a technical decision.

What to coverThe posting expects active participation in discussions and contributions to problem-solving. Suggested preparation: identify the decision at stake, the evidence or reasoning you brought, and the resulting action or outcome.

Tell me about a time you improved how a team supports an application.

What to coverThe role includes documenting solutions, sharing knowledge and contributing to application-support best practices. Suggested preparation: describe the support problem, the change you helped make and its observable result.

02

Sharpen your knowledge

Topics to prepare

  • ServiceNow ITSM and ITIL concepts

    The posting names ServiceNow ITSM as a must-have skill and calls for familiarity with ITIL. Suggested revision: explain how incident management differs from service request fulfillment and how each supports service management.

  • Generative and Agentic AI solution design

    The role calls for designing enterprise solutions with Generative and Agentic AI. Suggested revision: compare when a generative response is sufficient with when an agentic workflow could automate a multi-step business process.

  • Prompt engineering and AI evaluation

    The posting explicitly requests a strong grasp of both. Suggested revision: outline how you would test a prompt against representative cases, assess output quality and decide whether a change improved the solution.

  • Responsible, scalable AI and business value

    The posting asks for AI capabilities aligned with business objectives, scalability, responsible use and tangible value. Suggested revision: take a hypothetical enterprise workflow and define its objective, potential risks and measurable success criteria.

  • AI-native delivery and application reliability

    The role combines building and validating production-ready software with monitoring and maintaining critical applications. Suggested revision: map a solution from development and validation through monitoring, incident response and improvement.

Skills to revise

  • Work through ITSM cases

    The posting requires ServiceNow ITSM proficiency and experience with incidents and service requests. Suggested exercise: walk through a sample incident and a sample request, identifying what you would record, investigate, update and communicate in each.

  • Troubleshoot a business-system incident

    Application support includes diagnosing issues across multiple components and restoring reliable operation. Suggested exercise: use a hypothetical failure to practise narrowing the cause, checking the effect of a fix and documenting the resolution.

  • Develop and validate an AI workflow

    The role involves AI-driven solutions that automate processes and integrate insights into enterprise workflows. Suggested exercise: sketch a small workflow, draft its prompts and test representative inputs for quality and responsible use; this is preparation, not a specified employer project.

  • Document and share a support resolution

    The posting calls for documenting solutions, sharing knowledge and improving application-support practices. Suggested exercise: write a brief resolution note covering symptoms, investigation, outcome and what to monitor next.

  • Communicate with stakeholders

    The role requires understanding stakeholder needs and providing timely issue updates while contributing independently and in team discussions. Suggested exercise: practise a concise incident update that states impact, current findings, next steps and any unresolved questions.

04

Your preparation checklist

  • Assemble a factual experience timeline

    The posting specifies at least 7.5 years of experience, at least 3 years in ServiceNow ITSM, and 15 years of full-time education. Prepare dates and specific examples that accurately document any relevant experience and education.

  • Prepare a ServiceNow ITSM walkthrough

    Choose an incident-management or service-request example and outline the workflow, your decisions, the resolution, and how ITIL informed the work. The posting names each of these areas.

  • Build an AI solution walkthrough

    Prepare one relevant example showing the business problem, your role in designing and delivering the solution, how Generative or Agentic AI was used, and the outcome. If you lack a delivered example, label a proposed approach as hypothetical.

  • Practice a production-design exercise

    As a suggested exercise, sketch an AI-enabled enterprise workflow. Explain prompt design, evaluation criteria, scalability, responsible use, quality and compliance checks, and how you would measure business value; these concerns appear in the posting.

  • Rehearse an application-support investigation

    Prepare a concise account of diagnosing an incident in a critical business system: evidence gathered, teams involved, resolution, monitoring afterward, and documentation or knowledge shared. The role includes troubleshooting and proactive maintenance.

  • Draft a stakeholder update

    Write a short sample update that explains an issue, its business impact, current status, and next steps without overstating certainty. The posting calls for regular stakeholder communication and timely resolution updates.

  • Prepare questions about the role

    Ask how AI solution delivery and application support are balanced, which ServiceNow ITSM workflows need attention, how AI solutions are evaluated for responsible use and value, and what independent SME ownership entails. These are questions to clarify, not stated company processes.

AI-generated from the job information · Prepared Sep 30, 2026 (UTC)Useful preparation, not a guarantee of eligibility or an offer.

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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