New opportunity

AI Native Software Engineer

Accenture · Hyderabad, India

About this role

Build and ship production-ready software with AI as a core part of the engineering lifecycle. The role combines enterprise solution design using Generative and Agentic AI with support for critical business applications. The posting also describes the position as an Application Support Engineer.

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, scalability and responsible AI use.
  • Diagnose and resolve issues across business systems; monitor and maintain applications to support reliability and performance.
  • Contribute to incident resolution, document solutions, share knowledge and help establish application-support best practices.
  • Work independently, develop subject-matter expertise, participate in team discussions and communicate issue-resolution updates to stakeholders.

Requirements

  • At least 3 years of experience are required, including a stated minimum of 3 years in ServiceNow IT Operations Management (ITOM). The posting header lists an experience range of 2–5 years.
  • Proficiency in ServiceNow ITOM; a strong grasp of Generative AI, Agentic AI, prompt engineering and AI evaluation frameworks; and the ability to align AI capabilities with business objectives.
  • Analytical problem-solving skills; experience with incident management and service request fulfillment; understanding of software development life cycle methodologies; experience with modern programming languages and frameworks; familiarity with ITIL; and effective teamwork and stakeholder communication.
  • 15 years of full-time education are required.

This is a full-time position in Hyderabad.

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 evaluation frameworksServiceNow IT Operations Management (ITOM)Incident managementService request fulfillmentSoftware development life cycleITILApplication supportAnalytical problem-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 business-focused AI solutions

    The role calls for designing and delivering Generative and Agentic AI solutions that automate processes and add insights to enterprise workflows. Focus on how a business objective translates into a usable, measurable solution.

  • Build and validate production-ready software

    The posting emphasizes AI-native development and validation while maintaining quality, compliance, scalability and responsible AI use. Be ready to explain how those considerations shape engineering decisions.

  • Support critical applications through ServiceNow ITOM

    ServiceNow IT Operations Management is the stated must-have skill, with a minimum of three years specified. The application-support duties include diagnosing incidents, fulfilling service requests, and monitoring systems for reliability and performance.

  • Own resolutions and communicate them clearly

    The role expects independent work, developing subject-matter expertise, contributing to team discussions, documenting solutions and updating stakeholders on issue resolution.

Likely challenges to think through

  • Balancing new AI delivery with operational support

    A likely preparation challenge, not a confirmed employer problem: solution development and incident response can compete for attention. Prepare to describe how you would prioritize an urgent production issue against planned delivery and communicate the trade-off.

  • Demonstrating AI value without weakening controls

    A likely trade-off is pursuing useful automation while validating outputs and protecting quality, compliance, scalability and responsible use. Prepare a concrete approach to evaluation and to deciding when a solution is ready for production.

  • Resolving issues across system boundaries

    Because the posting describes issues spanning multiple components of critical business systems, diagnosis may require narrowing competing causes while stakeholders need timely updates. Prepare to walk through a structured investigation, escalation or collaboration, and documentation approach.

03

Practice your answers

Technical practice

Suggested practice: How would you investigate an issue spanning multiple components of a business application using your ServiceNow ITOM experience?

What to coverThe posting calls for ServiceNow ITOM proficiency and diagnosis across critical business systems. Suggested preparation: Explain how you would establish the impact, narrow down the affected components, test likely causes and verify that service has recovered.

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

What to coverThe role includes proactive monitoring and maintenance to support reliability and performance. Suggested preparation: Discuss how you would distinguish actionable signals from noise, investigate deterioration and decide when preventive work is warranted.

Suggested practice: How do incident management and service request fulfillment differ in practice?

What to coverThe posting names both processes and familiarity with ITIL. Suggested preparation: Explain how you would classify incoming work, set priorities, communicate progress and confirm resolution or fulfillment without treating every request as an incident.

Suggested practice: When would you choose a Generative AI solution over an agentic approach for an enterprise workflow?

What to coverThe role calls for applying Generative and Agentic AI to business challenges and process automation. Suggested preparation: Compare a bounded generation task with a multistep workflow, including the value of autonomy and the need for controls.

Suggested practice: How would you design and refine prompts for a business-facing AI feature?

What to coverPrompt engineering is explicitly listed among the required technical skills. Suggested preparation: Describe how you would define the task and output expectations, test representative inputs and revise prompts when results are inconsistent.

Suggested practice: How would you evaluate an AI-driven solution before and after release?

What to coverThe posting mentions AI evaluation frameworks, solution validation and production-ready delivery. Suggested preparation: Explain how you would select tests and measures tied to the business objective, examine failures and monitor whether performance holds in use.

Suggested practice: How would you integrate AI-generated insights into an enterprise workflow and assess their value?

What to coverThe role calls for intelligent insights in workflows and measurable business impact. Suggested preparation: Describe where the insight would enter a workflow, how users would act on it and what evidence would show whether it improved the process.

Suggested practice: What trade-offs would you consider when making an AI-driven solution scalable, reliable and responsible?

What to coverThe posting explicitly calls for scalability, responsible use, quality and compliance. Suggested preparation: Discuss how you would validate outputs and manage operational risks while weighing those controls against performance and delivery needs.

Suggested practice: How would you take an AI-enabled software change from development through production support?

What to coverThe role spans the software development life cycle, production-ready delivery and application support, and asks for experience with modern programming languages and frameworks. Suggested preparation: Walk through implementation, testing, release validation, monitoring and how support findings would inform the next change without assuming a particular technology stack.

Behavioural practice

Suggested practice: Tell me about a time you independently resolved a difficult application issue.

What to coverThe posting expects independent work, analytical problem-solving and growing subject-matter expertise. Suggested preparation: Use a real situation/action/result example showing how you investigated uncertainty, chose a course of action and verified the outcome.

Suggested practice: Tell me about a time you collaborated across teams during an incident.

What to coverThe role describes working with various teams to troubleshoot issues in critical business systems. Suggested preparation: Give a real situation/action/result example that makes your coordination, contribution and the operational outcome clear.

Suggested practice: Tell me about a time you kept stakeholders informed while resolving an issue.

What to coverThe posting calls for understanding stakeholder needs and providing timely resolution updates. Suggested preparation: Use a real situation/action/result example showing how you communicated impact, uncertainty and progress, and how the stakeholders responded.

Suggested practice: Tell me about a time you turned a support resolution into reusable knowledge.

What to coverDocumenting solutions, sharing knowledge and contributing to support best practices are stated duties. Suggested preparation: Describe a real situation/action/result example covering what you documented, how you shared it and whether it helped later support work.

Suggested practice: Tell me about a time you contributed a technical recommendation in a team discussion.

What to coverThe role expects active participation in discussions and solutions to work-related problems. Suggested preparation: Use a real situation/action/result example explaining the options you considered, how you handled differing views and what the team decided.

02

Sharpen your knowledge

Topics to prepare

  • ServiceNow ITOM and application reliability

    Required skill: ServiceNow IT Operations Management (ITOM), with a stated minimum of three years’ experience. Revise how ITOM supports monitoring, diagnosis and the reliability of business applications; sketch how you would move from an operational signal to a documented resolution.

  • Incident, request and ITIL concepts

    The posting calls for incident-management and service-request-fulfillment experience and familiarity with ITIL. Compare the purpose and handling of an incident versus a service request, then outline the information needed to track each through resolution.

  • Generative and Agentic AI solution design

    The role explicitly involves designing enterprise solutions using Generative and Agentic AI. Take a hypothetical business workflow and explain where generation or agentic behavior would help, what would remain under human control, and how the design serves a business objective.

  • AI evaluation and responsible use

    The posting names prompt engineering, AI evaluation frameworks, scalability and responsible use. For the hypothetical workflow, define a small set of test cases and success criteria, including how you would detect an unacceptable output before deployment.

  • Software lifecycle and production quality

    The role calls for SDLC understanding and developing and validating production-ready software while maintaining quality and compliance. Trace a proposed change from requirements through validation and release, identifying what evidence you would check at each stage.

Skills to revise

  • Work through an ITOM diagnosis

    Practice narrating a hypothetical application alert: what you would inspect in ServiceNow ITOM, how you would narrow possible causes, and what you would record. This exercises the posting’s required ITOM proficiency and application-support troubleshooting; the scenario is preparation, not a stated employer task.

  • Handle and document a support case

    Draft a short incident record with impact, investigation steps, resolution and a knowledge-sharing note; separately outline a service-request response. This rehearses the stated incident, request-fulfillment and documentation responsibilities.

  • Prototype and assess an AI-assisted workflow

    As a preparation exercise, write a prompt for a hypothetical enterprise task, test it against a few normal and failure cases, and explain what you would change based on the results. This connects the stated prompt-engineering and AI-evaluation skills to measurable business value; no particular tool is specified.

  • Validate a small software change

    Using a programming language and framework you already know, make a small change to a practice application and describe how you tested behavior, reliability and compliance considerations. The posting requests experience with modern languages and frameworks but names none.

  • Communicate resolution updates

    Practice a concise stakeholder update for a hypothetical unresolved incident: current impact, actions taken, next step and when to expect another update. This reflects the stated expectation to collaborate and provide timely issue-resolution updates.

04

Your preparation checklist

  • Map evidence to the stated requirements

    Prepare a one-page timeline of ServiceNow ITOM work, including dates, responsibilities and outcomes, plus examples of incident management, service requests, programming and SDLC work. The posting specifies a minimum of three years in ITOM and 15 years of full-time education; organize supporting records without assuming how they will be checked.

  • Rehearse an ITOM incident walkthrough

    Choose a real example and explain the symptoms, investigation, resolution, stakeholder updates and documented follow-up. The posting emphasizes troubleshooting critical systems, monitoring, reliability and knowledge sharing.

  • Prepare an AI solution walkthrough

    Show how a GenAI or agentic-AI solution addressed a business objective, from design and implementation through validation. Explain your contribution and any observed outcome; the role calls for AI-driven enterprise solutions with measurable impact.

  • Practice a combined design exercise

    As interview practice, sketch how you would add an AI-assisted capability to an enterprise support workflow. Cover where ServiceNow ITOM fits, human review, failure handling, scalability and responsible use. This is a preparation exercise, not a stated hiring task.

  • Make an AI evaluation plan

    Prepare a short example of prompts, test cases, success measures and checks for quality, compliance and unsafe or unreliable outputs. Be ready to explain how evaluation would inform changes before and after deployment.

  • Draft questions for the employer

    Ask how the AI-native engineering and application-support responsibilities divide in this role, which ITOM activities matter most, and how the team measures solution value and application reliability.

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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