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Custom Software Engineering Lead

Accenture · Hyderabad, India

About this role

The Custom Software Engineering Lead is responsible for overseeing the technical vision and architectural framework of bespoke software projects, with a specific focus on ServiceNow, Virtual Agent, and Agentic AI capabilities. This role involves guiding development teams through the entire lifecycle of solution design, development, implementation, and continuous improvement to ensure alignment with business objectives. Responsibilities include acting as a Subject Matter Expert (SME), driving technical decisions for ServiceNow application architecture, and designing conversational workflows to enhance user self-service and automation. The lead will facilitate communication between technical teams, business stakeholders, and product owners, while evaluating emerging AI capabilities for enterprise use cases. Required qualifications include a minimum of 5 years of experience (with a specific requirement of 7.5 years in ServiceNow), and a 15-year full-time educational background. Candidates must demonstrate strong expertise in designing scalable software architectures, managing development teams, and implementing best practices for code quality, performance, and security. The position is based in the Hyderabad office.

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

Skills for this role

ServiceNowServiceNow Virtual AgentAgentic AISoftware ArchitectureTeam LeadershipConversational WorkflowsSystem Integration

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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

  • ServiceNow Architectural Leadership

    The role requires acting as the primary Subject Matter Expert for ServiceNow application architecture. You must demonstrate the ability to design scalable, maintainable, and secure solutions that align with complex business objectives while setting development standards for the entire team.

  • Agentic AI and Virtual Agent Implementation

    A core priority is the design and execution of conversational workflows and Virtual Agent experiences. You are expected to evaluate emerging AI capabilities and integrate them into enterprise use cases to drive automation and improve user self-service efficiency.

  • Cross-Functional Stakeholder Management

    You must facilitate communication between technical teams, product owners, and business stakeholders. This involves translating complex technical architectural decisions into business-aligned solutions and ensuring project delivery remains on schedule.

Likely challenges to think through

  • Balancing Innovation with Platform Stability

    Integrating advanced Agentic AI into existing ServiceNow environments can introduce performance or security risks. Prepare by discussing how you maintain code quality and security compliance while implementing cutting-edge, experimental AI features.

  • Managing Technical Debt in Bespoke Solutions

    As a lead for bespoke projects, you may face pressure to deliver quickly at the expense of long-term maintainability. Prepare to explain your methodology for enforcing best practices and ensuring that custom-built ServiceNow applications remain scalable over time.

03

Practice your answers

Technical practice

ServiceNow Architectural Scalability

What to coverDiscuss your approach to designing scalable ServiceNow architectures. Focus on how you balance platform performance with custom application requirements, specifically addressing modular design and avoiding technical debt.

Virtual Agent Conversational Design

What to coverExplain your methodology for designing effective Virtual Agent workflows. Highlight how you ensure conversational flows are intuitive, maintainable, and capable of handling complex user self-service scenarios.

Implementing Agentic AI

What to coverDescribe how you evaluate and integrate Agentic AI capabilities within the ServiceNow ecosystem. Discuss the trade-offs between out-of-the-box AI features and custom-built agentic solutions for enterprise use cases.

ServiceNow Integration Patterns

What to coverDetail your experience integrating ServiceNow with third-party enterprise systems. Explain how you handle security, data consistency, and performance when building complex integrations.

Code Quality and Security Standards

What to coverWhat specific best practices do you enforce to ensure high code quality and security compliance in ServiceNow development? Suggestion: Prepare to discuss your experience with peer reviews, automated testing, and platform security hardening.

Troubleshooting Complex Platform Issues

What to coverDescribe a scenario where you had to resolve a critical performance or architectural bottleneck in a ServiceNow environment. Focus on your diagnostic process and how you implemented a long-term fix.

Lifecycle Management of Custom Solutions

What to coverHow do you manage the full lifecycle of a bespoke ServiceNow project from design through to continuous improvement? Explain how you align technical delivery with evolving business objectives.

Evaluating Emerging AI Capabilities

What to coverHow do you stay current with ServiceNow's rapidly evolving AI roadmap? Explain your process for assessing the business value and technical feasibility of new AI features before recommending them to stakeholders.

Behavioural practice

Stakeholder Communication and Alignment

What to coverDescribe a time you had to bridge the gap between technical teams and non-technical business stakeholders. How did you ensure that the architectural vision remained aligned with business requirements?

Leading Development Teams

What to coverProvide an example of how you have mentored or led a development team through a challenging project delivery. Focus on how you handled team dynamics and ensured high performance under pressure.

Driving Technical Decisions

What to coverTell me about a time you had to make a difficult technical decision that impacted multiple teams. How did you gather input, evaluate options, and gain consensus among stakeholders?

Managing Conflicting Priorities

What to coverDescribe a situation where you had to balance urgent project timelines with the need for long-term architectural integrity. How did you communicate the trade-offs to product owners?

02

Sharpen your knowledge

Topics to prepare

  • ServiceNow Architectural Frameworks

    Review the principles of designing scalable and maintainable applications within the ServiceNow ecosystem. Exercise: Draft a high-level architecture document for a complex enterprise integration, focusing on modularity and performance optimization to demonstrate your ability to lead technical vision.

  • Agentic AI and Conversational Design

    Study the integration of AI agents within ServiceNow Virtual Agent. Exercise: Outline a strategy for evaluating and implementing a new AI capability, detailing how you would map business requirements to conversational workflows and measure the success of user self-service automation.

Skills to revise

  • ServiceNow Virtual Agent Development

    Practice building and refining conversational topics and workflows. Exercise: Create a prototype flow that handles a multi-step user request, incorporating error handling and integration with an external system to demonstrate technical proficiency in automation.

  • Technical Team Leadership

    Prepare to discuss your approach to managing development lifecycles and enforcing code quality. Exercise: Prepare a case study from your past experience detailing how you resolved a complex technical bottleneck while maintaining alignment between business stakeholders and the development team.

  • Enterprise System Integration

    Focus on connecting ServiceNow with third-party applications. Exercise: Review documentation for REST/SOAP integrations within ServiceNow and prepare to explain how you ensure security compliance and data integrity during cross-platform communication.

04

Your preparation checklist

  • Prepare a ServiceNow Architectural Case Study

    Develop a detailed walkthrough of a past project where you designed a scalable ServiceNow architecture. Focus on how you handled complex integrations, ensured security compliance, and maintained code quality across the development lifecycle.

  • Demonstrate Virtual Agent and Agentic AI Expertise

    Prepare specific examples of how you have designed and implemented conversational workflows or Virtual Agent topics. Be ready to discuss how you evaluate emerging AI capabilities for enterprise use cases and how you measure the success of automation initiatives.

  • Synthesize Team Leadership and Stakeholder Management Experience

    Draft a narrative describing your approach to leading development teams through the full project lifecycle. Include how you facilitate communication between technical teams, business stakeholders, and product owners to align technical decisions with business objectives.

  • Formulate Technical Questions for the Interviewers

    Prepare insightful questions regarding the current ServiceNow roadmap at Accenture, the specific challenges the team faces with Agentic AI integration, and how the organization balances rapid delivery with long-term architectural scalability.

AI-generated from the job information · Prepared Oct 13, 2026 (UTC)Useful preparation, not a guarantee of eligibility or an offer.

Availability last checked: 18 Oct 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

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