New opportunity

AI Native Software Engineer

Accenture · Bengaluru, India

About this role

Accenture seeks an AI Native Software Engineer in Bengaluru to build and ship production-ready software with AI integrated into the engineering lifecycle. The role focuses on AI-enabled ServiceNow features and maintaining solution quality, compliance, and secure engineering practices.

Responsibilities

Develop features using ServiceNow Now Assist, Virtual Agent, and AI Search with App Engine Studio, Flow Designer, and IntegrationHub.
Implement agentic patterns for workflow automation and developer assistance; write prompts and evaluators, and contribute to RAG strategies and testing frameworks.
Work with architects and product owners in agile pods, participating in sprints and code reviews. Apply Responsible AI principles and improve how software is built and operated.

Requirements

At least 5 years of experience; the posting also lists an experience range of 5–10 years. It requires 15 years of full-time education. The detailed job description labels the ServiceNow AI Developer work as “Entry Level,” despite the stated experience requirement.
Strong JavaScript, REST API, and ServiceNow platform development fundamentals; familiarity with App Engine, Flow Designer, IntegrationHub, and Scoped Applications.
Understanding of LLMs, prompt engineering, and evaluation metrics; knowledge of Virtual Agent, AI Search tuning, and Now Assist configuration. Exposure to ServiceNow data models, UI policies, Business Rules, and client scripts; awareness of SOAP/REST integration, MID Server, OAuth, and SAML; and basic understanding of RAG, vector search, and orchestration frameworks.
Collaboration, communication, problem-solving, attention to detail, adaptability, and a continuous-learning mindset.

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

Skills for this role

ServiceNowNow AssistVirtual AgentAI SearchApp Engine StudioFlow DesignerIntegrationHubJavaScriptREST APIsScoped ApplicationsLarge Language ModelsPrompt EngineeringAI EvaluationRetrieval-Augmented GenerationVector SearchSOAPMID ServerOAuthSAMLServiceNow Business RulesServiceNow Client ScriptsServiceNow UI PoliciesResponsible AIAgile

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

Ship ServiceNow AI features
The role calls for production-ready features using Now Assist, Virtual Agent, and AI Search, built with App Engine Studio, Flow Designer, and IntegrationHub. Prepare to explain how a feature moves from configuration and development through validation and release.
Build useful workflow automation
The posting specifically calls for agentic patterns for workflow automation and developer assistance. Prepare examples of choosing what to automate, where to retain human control, and how to verify the resulting workflow.
Evaluate AI behavior
Authoring prompts and evaluators, contributing to RAG strategies and testing frameworks, and understanding evaluation metrics are stated parts of the role. Prepare to discuss how tests and metrics reveal whether an AI-enabled feature is working as intended.
Maintain quality through collaboration
The role combines quality, compliance, Responsible AI, and secure engineering with sprint and code-review work alongside architects and product owners. Prepare to describe how those considerations shape implementation decisions and reviews.

Likely challenges to think through

Balancing automation with control
A likely challenge, not a confirmed employer problem, is deciding how much autonomy to give an agentic workflow without weakening oversight. Prepare a concrete design rationale covering boundaries, failure handling, and human review.
Making AI quality measurable
A likely difficulty is that a prompt or RAG change may improve one outcome while degrading another. Prepare to explain how you would select evaluation cases, compare results, and decide whether a change is ready to ship.
Connecting features securely
IntegrationHub, REST APIs, authentication mechanisms, and secure engineering all appear in the posting. A plausible challenge is balancing integration needs with access control and maintainability; prepare to walk through an integration design and its security checks.

Practice your answers

Technical practice

How would you decide between a Business Rule, client script, and UI policy for a ServiceNow feature?

What to coverSuggested preparation: Explain where each runs, what it controls, and how you would keep validation reliable. Relate the choice to the posting’s emphasis on JavaScript, ServiceNow development, and solution quality.

How would you structure a ServiceNow application built with App Engine Studio and Scoped Applications?

What to coverSuggested preparation: Discuss the application’s data model, scope boundaries, and maintainability. Explain how you would validate the feature before shipping it.

How would you automate a workflow using Flow Designer and IntegrationHub?

What to coverSuggested preparation: Walk through triggers, actions, external-system interactions, and failure handling. Explain when a configured flow is preferable to custom code.

How would you troubleshoot a ServiceNow integration that fails to reach or authenticate with another system?

What to coverSuggested preparation: Distinguish transport, connectivity, and authentication problems using the posting’s SOAP/REST, MID Server, OAuth, and SAML topics. Explain what evidence you would check before changing the integration.

How would you design an AI-enabled experience using Now Assist and Virtual Agent?

What to coverSuggested preparation: Explain the user task, the role of each capability, and how you would check that responses and handoffs are useful. Keep the example hypothetical rather than assuming a particular Accenture implementation.

How would you improve AI Search results and assess whether RAG or vector search would help?

What to coverSuggested preparation: Describe how you would inspect weak search results and measure whether tuning improves relevance. Explain the basic retrieval trade-off without assuming the role uses a particular vector store or orchestration framework.

How would you implement an agentic pattern for workflow automation or developer assistance?

What to coverSuggested preparation: Describe a bounded task, the actions an agent may take, and how its outputs would be checked. Discuss the trade-off between autonomy and predictable, controllable behaviour.

How would you write and evaluate prompts for an AI-enabled ServiceNow feature?

What to coverSuggested preparation: Explain how you would define the task, assemble representative test cases, and choose metrics that reflect answer quality and failure modes. Connect prompt iteration to the posting’s work on evaluators and testing frameworks.

How would you apply Responsible AI and secure engineering practices to an AI-enabled feature?

What to coverSuggested preparation: Discuss how you would assess inappropriate outputs, sensitive data exposure, and access to actions or information. Explain how you would test safeguards without claiming the posting specifies a particular policy or tool.

What would you check before shipping a production-ready AI-enabled ServiceNow feature?

What to coverSuggested preparation: Cover functional tests, AI-output evaluation, integration failures, and review of quality, security, and compliance concerns. Explain how you would investigate a regression and use the findings to improve the feature.

Behavioural practice

Tell me about a time you aligned engineers and product stakeholders on a feature decision.

What to coverSuggested preparation: Use a real situation, your actions, and the result, including how you resolved differing priorities. This relates to the posting’s collaboration with architects and product owners in agile pods.

Describe a code review where you raised or received consequential feedback.

What to coverSuggested preparation: Give the situation, how you handled the discussion, and what changed as a result. Focus on quality and collaboration rather than attributing a review practice to Accenture beyond the posting’s mention of code reviews.

Tell me about a difficult software issue you diagnosed without an obvious cause.

What to coverSuggested preparation: Explain the symptoms, the evidence you gathered, your actions, and the outcome. Highlight systematic problem-solving and attention to detail.

Describe a time priorities changed during a sprint or client-facing delivery.

What to coverSuggested preparation: State the situation, how you communicated trade-offs and adjusted your work, and the result. This is suggested practice based on the posting’s agile and adaptable, client-focused work.

Tell me about a time you learned an unfamiliar technology to improve a solution.

What to coverSuggested preparation: Give the starting context, what you did to learn and apply it, and the result. Keep the example genuine and connect it to the posting’s emphasis on curiosity and continuous learning.

Sharpen your knowledge

Topics to prepare

ServiceNow application design
Conceptual revision: Map how a Scoped Application, data model, UI policy, Business Rule, and client script would divide responsibilities in one feature. The posting requires ServiceNow development fundamentals and exposure to these components.
ServiceNow AI feature selection
Conceptual revision: Compare when Now Assist, Virtual Agent, or AI Search fits a user request, and explain what configuration or search tuning you would examine. All three are named in the responsibilities.
LLM evaluation and retrieval
Conceptual revision: For a proposed ServiceNow answer feature, outline a basic RAG flow, where vector search could help, and metrics for judging answer quality. The posting calls for LLM and evaluation understanding and basic RAG knowledge.
Agentic automation and safeguards
Conceptual revision: Draw a workflow automation loop with an action, a validation step, and a stop or escalation condition. Explain how Responsible AI and secure engineering would constrain it. Agentic patterns and both safeguards are explicit responsibilities.
Integration and authentication patterns
Conceptual revision: Compare a REST integration with a SOAP integration and explain the roles of MID Server, OAuth, and SAML where applicable. The posting requests REST fundamentals and awareness of these other mechanisms.

Skills to revise

JavaScript feature implementation
Hands-on exercise: Write and test a small JavaScript routine that validates input and handles an API error; explain where server-side versus client-side ServiceNow logic would belong. JavaScript and platform development fundamentals are required.
ServiceNow workflow assembly
Hands-on exercise: In a sandbox if available, build a small Scoped Application workflow using App Engine Studio, Flow Designer, and IntegrationHub; otherwise, specify its steps and inputs. These tools are named for AI-enabled feature development.
Prompt and evaluator authoring
Hands-on exercise: Draft a prompt for a Virtual Agent or Now Assist scenario, create a small test set with expected outcomes, and define a scoring rubric for incorrect or unsupported answers. The role explicitly involves writing prompts and evaluators.
API integration handling
Hands-on exercise: Draft a REST request and response contract, including authentication, input validation, and failure handling, for a ServiceNow integration. REST APIs and secure integration practices are relevant to the posting.
Agile code-review communication
Hands-on exercise: Review a sample change for correctness, security, and test coverage, then write concise review comments and a sprint update. The role participates in code reviews and sprints with architects and product owners.

Your preparation checklist

Map the stated requirements to evidence
The posting specifies at least five years of experience, 15 years of full-time education, and ServiceNow as the required skill. Prepare a factual timeline and examples showing relevant JavaScript, REST API, and ServiceNow development work; do not infer eligibility from the posting.
Prepare a ServiceNow feature walkthrough
The role calls for AI-enabled features using Now Assist, Virtual Agent, or AI Search with App Engine Studio, Flow Designer, and IntegrationHub. Prepare one relevant project walkthrough, or a clearly labeled hypothetical, covering design decisions, implementation, testing, and what was shipped.
Practice an agentic workflow design
The posting mentions workflow automation, developer assistance, and basic RAG concepts. As preparation, sketch a ServiceNow workflow with agent actions, retrieval boundaries, human review points, and failure handling; label any proposed design as hypothetical.
Build a prompt and evaluation example
The role includes authoring prompts and evaluators, AI Search tuning, and testing frameworks. Prepare a small example with test inputs, expected behavior, evaluation metrics, and how you would inspect poor results.
Review integrations and secure engineering
The posting names SOAP/REST, MID Server, OAuth, SAML, Responsible AI, and secure engineering practices. Prepare a concise integration diagram and explain authentication, data access, and validation choices without claiming a specific company standard.
Rehearse a collaborative delivery example
The role involves architects, product owners, sprints, and code reviews. Prepare one factual example of resolving a design trade-off or review comment, including your contribution and the outcome.
Draft questions for the employer
Ask which Now Assist, Virtual Agent, and AI Search use cases the team prioritizes, how AI features are evaluated before release, and what scope is intended by the page’s “Team Lead/Consultant” heading versus its “Entry Level” ServiceNow AI Developer label.

Availability last checked: 4 Nov 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

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