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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 deliver 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.

Responsibilities

  • Design, develop and deploy enterprise solutions using Generative and Agentic AI to address business challenges, automate processes and integrate insights into workflows. Develop and validate solutions while maintaining quality, compliance and responsible AI use.
  • Diagnose and resolve incidents across business systems; monitor and maintain applications to support reliability and performance. Document solutions and share knowledge with the team.
  • Work independently as a subject-matter expert, contribute to team discussions and support best practices for application support. Communicate with stakeholders about their needs and issue resolution.

Requirements

  • Minimum 7.5 years of overall experience, including at least 3 years with ServiceNow IT Service Management. The listing also labels the position as Associate Manager and displays an experience band of 5–10 years.
  • Proficiency in ServiceNow ITSM; understanding of incident management, service request fulfillment and ITIL-based service management.
  • Strong grasp of Generative AI, Agentic AI, prompt engineering and AI evaluation frameworks, with the ability to align AI capabilities with business objectives, scalability, responsible use and measurable value.
  • Analytical problem-solving, teamwork and effective communication with diverse stakeholders. Fifteen years of full-time education is required.

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 Management (ITSM)ITILIncident ManagementService Request FulfillmentApplication SupportProblem SolvingStakeholder Communication

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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 production-ready AI solutions

    The role leads the design and delivery of enterprise solutions using Generative and Agentic AI to automate processes and integrate insights into workflows. Prepare to explain how you would take a business need through development, validation and deployment while identifying measurable value.

  • Apply AI-native engineering controls

    The posting calls for AI throughout the engineering lifecycle, including prompt engineering, AI evaluation, quality, compliance, scalability and responsible use. Prepare to describe how these considerations shape solution design and validation.

  • Keep critical applications reliable

    Application support includes diagnosing incidents across business systems, proactive monitoring, maintenance and resolving issues. Prepare to walk through a structured troubleshooting approach and how you would document and share a resolution.

  • Bring ServiceNow ITSM expertise to support work

    ServiceNow IT Service Management is the stated must-have skill, with incident management, service request fulfillment and ITIL application also named. Prepare to connect those practices to handling support issues and improving application-support practices.

  • Operate independently and communicate clearly

    The role expects independent subject-matter contribution, team participation and regular stakeholder updates about needs and issue resolution. Prepare examples that show how you explain technical decisions and keep others informed.

Likely challenges to think through

  • Balancing AI delivery with application support

    Preparation hypothesis: building new AI-driven solutions while resolving incidents could create competing demands on time and attention; the posting does not specify how work is allocated. Prepare to explain how you would prioritize operational issues without losing sight of delivery and validation.

  • Proving AI value without weakening controls

    Preparation hypothesis: pressure to automate workflows may compete with evaluation, quality, compliance and responsible use. Prepare a concrete decision framework for when an AI approach is appropriate, how to validate it and how to assess business value.

  • Turning technical findings into actionable updates

    Preparation hypothesis: incidents spanning multiple components and diverse stakeholders may make it difficult to communicate progress before the cause is clear. Prepare to show how you would investigate uncertainty, give timely updates and record a reusable resolution.

03

Practice your answers

Technical practice

How would you decide whether Generative AI or Agentic AI fits an enterprise workflow?

What to coverSuggested preparation: Compare the business objective, degree of autonomy needed, and how the solution would fit into an existing workflow. Explain how you would judge whether the added complexity produces measurable value.

How would you design an AI-driven solution to automate a business process?

What to coverSuggested preparation: Walk through requirements, solution design, development, deployment, and integration of insights into the workflow. Address the trade-off between automation and maintaining quality and responsible use.

How would you develop and test prompts for an enterprise use case?

What to coverSuggested preparation: Explain how you would define the task, make prompts consistent, and test them against representative cases. Discuss how you would revise a prompt when its outputs are unreliable or fail to meet the business need.

How would you evaluate whether an AI solution is ready for production?

What to coverSuggested preparation: Describe evaluation criteria tied to the business objective, along with checks for quality and responsible use. Explain how you would interpret failures and decide whether to revise, limit, or withhold the solution.

How would you account for scalability and compliance in an AI solution?

What to coverSuggested preparation: Discuss how expected use, operational performance, and compliance needs would influence design and validation. Explain the trade-offs you would raise before deploying an enterprise-grade solution.

How would you use AI throughout the software engineering lifecycle without weakening quality?

What to coverSuggested preparation: Identify where AI could assist development and validation, and where checks remain necessary before shipping. Explain how you would use feedback from operation to improve the software and the engineering approach.

How would you investigate an incident affecting multiple components of a business application?

What to coverSuggested preparation: Outline how you would assess impact, narrow down the cause, coordinate troubleshooting, and confirm resolution. Relate the investigation to incident management and the need to keep business operations running.

How would you apply ServiceNow ITSM and ITIL principles to incident management?

What to coverSuggested preparation: Explain how you would record, track, communicate, and document an incident through resolution. Distinguish restoring service from identifying improvements that could reduce recurrence.

How would you handle a service request differently from an incident?

What to coverSuggested preparation: Contrast request fulfillment with responding to an unplanned service disruption. Explain how you would keep each case traceable and provide stakeholders with appropriate updates.

How would you use monitoring and maintenance to improve application reliability?

What to coverSuggested preparation: Describe how you would use signs of degraded performance to prioritize investigation and preventive maintenance. Explain how documenting resolutions and sharing findings could improve future support.

Behavioural practice

Tell me about a time you independently resolved a difficult application-support issue.

What to coverSuggested preparation: Use a real situation, the actions you took to diagnose and resolve it, and the result for the affected service. Clarify what you handled independently and when you involved others.

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

What to coverSuggested preparation: Give the situation, how you coordinated investigation and decisions, and the outcome. Focus on your contribution and how the collaboration helped restore service.

Tell me about a time you communicated an issue and its resolution to stakeholders with different needs.

What to coverSuggested preparation: Explain the situation, how you learned what stakeholders needed and tailored your updates, and the result. Include how you handled uncertainty or changing information.

Describe a time you improved an application-support practice or shared knowledge after resolving a problem.

What to coverSuggested preparation: State the recurring issue or gap, the documentation or practice you contributed, and its observed result. Distinguish your own actions from the team's work.

Tell me about a time you aligned a technical solution with a business objective.

What to coverSuggested preparation: Use a real situation to explain the objective, the options you considered, your actions, and the outcome. If your example involved AI, discuss how you weighed quality and responsible use against expected value.

02

Sharpen your knowledge

Topics to prepare

  • ServiceNow ITSM and ITIL

    Posting: ServiceNow ITSM is the must-have skill, and familiarity with ITIL-based service management is specified. Suggested revision exercise: explain how an incident and a service request differ, including how each moves toward resolution or fulfillment.

  • Generative AI versus Agentic AI

    Posting: the role designs and delivers enterprise solutions using both. Suggested revision exercise: compare a solution that generates an answer with one that takes a sequence of actions, and explain when each would serve a business objective.

  • Prompt engineering and AI evaluation

    Posting: a strong grasp of both is requested. Suggested revision exercise: define a business task, draft a prompt, and specify examples and criteria for judging whether its outputs are useful and reliable.

  • Production readiness and responsible AI

    Posting: solutions must be validated while maintaining quality and compliance, with attention to scalability, responsible use and measurable value. Suggested revision exercise: outline the checks and business measures you would discuss before deploying a proposed AI workflow.

  • Application-support reliability

    Posting: the role includes diagnosing issues across critical business systems and proactive monitoring and maintenance. Suggested revision exercise: map how you would distinguish an isolated incident from a broader application issue and decide what to monitor after resolution.

Skills to revise

  • Triage an ITSM incident

    Posting: ServiceNow ITSM proficiency and incident-management experience are required. Suggested practice: work through a hypothetical incident record, documenting impact, investigation steps, resolution and the information needed for an update.

  • Work through service request fulfillment

    Posting: experience with service request fulfillment is specified. Suggested practice: take a hypothetical request from intake to completion, noting what must be clarified, tracked and communicated.

  • Validate a proposed AI workflow

    Posting: the role develops and validates Generative and Agentic AI solutions for enterprise workflows. Suggested practice: sketch one business workflow, identify where AI would help, then test sample outputs against explicit quality and responsible-use criteria. The example workflow is a preparation exercise, not a stated project.

  • Document and communicate a resolution

    Posting: the role documents solutions, shares knowledge and updates stakeholders on issues. Suggested practice: write a brief knowledge entry for a hypothetical resolved incident, then give a concise stakeholder update covering impact, status and next steps.

04

Your preparation checklist

  • Map the role’s stated requirements

    Prepare a one-page evidence map for the posting’s minimum 7.5 years of experience, at least 3 years in ServiceNow ITSM, and 15 years of full-time education. Note that the posting also displays a 5–10-year experience band.

  • Build a ServiceNow ITSM walkthrough

    Prepare one example showing your role, the incident-management or service-request process, how you applied ITIL practices, and the outcome. The posting names ServiceNow ITSM as its must-have skill.

  • Rehearse an application-support incident

    Create a concise walkthrough from detection and diagnosis through resolution, stakeholder updates, documentation, and follow-up monitoring. These activities reflect the posting’s application-support responsibilities.

  • Sketch an AI solution design

    As interview preparation, outline how you would use Generative or Agentic AI to address a business problem within an enterprise workflow. Include the objective, system boundaries, human oversight, scalability, and what you would measure; this is a practice exercise, not a stated hiring task.

  • Prepare a validation and responsible-use plan

    Show how you would test prompts and evaluate AI outputs, handle failure cases, and maintain quality and compliance before deployment. The posting calls for prompt engineering, AI evaluation, responsible use, and production-ready delivery.

  • Draft leadership examples and employer questions

    Prepare an example of independent problem-solving, team knowledge-sharing, and communication with diverse stakeholders. Ask how this role divides time between AI solution delivery and application support, and how success is measured for each.

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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