New opportunity

Industry Consulting Snr. Consultant

NTTD Info Pro Ser Pte Ltd · Gurgaon, India

About this role

The Industry Consulting Snr. Consultant will be responsible for developing and deploying advanced applications while integrating AI-driven solutions. The role focuses on leveraging agentic AI and development aids to enhance productivity and product architecture. Responsibilities include: Developing applications using C#, SQL Server, and WPF; Implementing and managing agentic AI workflows; Leveraging GitHub Copilot effectively and cost-efficiently; Creating guardrails for AI to ensure effective task completion; Designing AI-integrated products that prioritize data security and context-aware architecture; Utilizing AWS containers for product development and build pipelines; Developing cloud/deployment agnostic features. Requirements: 6+ years of application development experience; Proficiency in C#, SQL Server, Windows/Linux environments, and REST APIs; Deep understanding of AI use cases beyond code completion; Ability to work in a client-focused environment. The role is based in Gurgaon, India. While NTT Data offers flexibility, in-office attendance may be required for meetings or events depending on business needs and client requirements.

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

Skills for this role

C#SQL ServerWindowsLinuxREST APIWPFAgentic AIGitHub CopilotAI GuardrailsAWS ContainersCloud Agnostic Development

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

Advanced AI Integration and Guardrails
The role requires moving beyond basic code completion to implementing agentic AI workflows. You must demonstrate the ability to architect secure, context-aware AI solutions while establishing robust guardrails to ensure task accuracy and data protection.
Cloud-Agnostic Application Development
You are expected to design and package features that are cloud and deployment agnostic. This involves leveraging AWS containers effectively for both product architecture and build pipelines while maintaining flexibility across different environments.
Cost-Efficient AI Tooling
A key priority is the strategic use of development aids like GitHub Copilot. You must show how to maximize the value of these tools while managing costs associated with premium requests, balancing productivity gains against budget constraints.
Core Technical Proficiency
You must maintain high standards in traditional application development using C#, SQL Server, and WPF. The role requires deep expertise in these technologies to support the integration of modern AI-driven solutions within existing Windows/Linux environments.

Likely challenges to think through

Balancing Innovation with Data Security
Integrating AI into products creates risks regarding customer data exposure. Prepare to discuss specific architectural patterns that ensure context-aware AI interactions remain isolated and secure, preventing unauthorized data leakage.
Managing Client-Specific Requirements
As a consultant, you will operate in a client-focused environment where priorities may shift. Prepare to explain how you maintain technical consistency and project momentum when client needs necessitate changes to deployment strategies or hybrid work arrangements.
Architecting for Portability
Developing cloud-agnostic features while utilizing specific AWS container services can create conflicting requirements. Be ready to explain your approach to abstracting infrastructure dependencies to ensure code remains portable across different cloud providers.

Practice your answers

Technical practice

Designing Agentic AI Workflows

What to coverExplain how you architect agentic AI systems that go beyond simple code completion. Discuss your approach to defining agent roles, task decomposition, and how you manage state and memory within these workflows.

Implementing AI Guardrails

What to coverDescribe the mechanisms you use to create guardrails for AI-driven applications. Focus on how you ensure task completion accuracy, prevent hallucinations, and maintain output consistency in production environments.

Cost-Effective GitHub Copilot Usage

What to coverHow do you optimize the use of GitHub Copilot to balance developer productivity with cost efficiency? Discuss strategies for managing premium request usage and ensuring the tool is used for high-value tasks.

Data Security in AI-Integrated Products

What to coverWhen integrating AI into products, how do you ensure customer data remains secure? Address techniques for preventing data leakage and how you incorporate context-aware architecture without exposing sensitive information.

Cloud-Agnostic Development with AWS Containers

What to coverExplain your process for developing and packaging features to be cloud-agnostic while utilizing AWS containers. Discuss how you handle environment-specific configurations and ensure portability across different deployment targets.

WPF and C# Application Architecture

What to coverDescribe your experience building complex applications using C# and WPF. Focus on how you structure your code for maintainability and how you integrate these desktop applications with modern REST APIs.

SQL Server Performance Optimization

What to coverDiscuss your approach to optimizing SQL Server databases for high-performance applications. Mention your experience with indexing strategies, query tuning, and managing data access patterns in a multi-user environment.

Containerizing Build Pipelines

What to coverHow do you leverage containers within CI/CD pipelines to improve development consistency? Explain your experience using AWS containers to automate testing, building, and deployment processes.

Behavioural practice

Client-Focused Problem Solving

What to coverDescribe a situation where you had to balance technical requirements with specific client needs. How did you ensure the final solution met their business objectives while maintaining high technical standards?

Adapting to Hybrid Work Environments

What to coverProvide an example of how you have successfully managed project delivery while working in a hybrid or client-facing environment. How do you maintain communication and collaboration when in-office attendance is required?

Driving Innovation with New Technology

What to coverTell me about a time you introduced a new technology or AI-driven tool to your team. How did you manage the transition, address resistance, and measure the impact on productivity?

Handling Technical Trade-offs

What to coverDescribe a project where you had to make a difficult trade-off between speed of delivery and architectural integrity. How did you justify your decision to stakeholders and what was the long-term result?

Sharpen your knowledge

Topics to prepare

Agentic AI Architecture and Guardrails
Focus on the conceptual design of autonomous AI agents, specifically how to implement guardrails to ensure task completion, data security, and context-aware decision-making. Exercise: Draft a high-level architecture diagram for an AI agent that interacts with a SQL database, detailing where you would place validation layers to prevent unauthorized data access.
Cloud-Agnostic Application Design
Understand the principles of building applications that are not locked into a specific cloud provider's proprietary services. Exercise: Review your past projects and identify components that could be abstracted to run on any container orchestration platform, focusing on decoupling business logic from infrastructure-specific APIs.

Skills to revise

Cost-Effective GitHub Copilot Utilization
Mastering the balance between AI-assisted productivity and the cost of premium requests. Exercise: Create a set of best practices for your development team on when to use Copilot versus manual coding to optimize for both speed and API request costs.
AWS Containerization for Build Pipelines
Hands-on implementation of containerized environments for both product deployment and CI/CD pipelines. Exercise: Configure a sample Dockerfile and a basic pipeline script that demonstrates how to package a C# application for deployment in an AWS container environment.
Advanced C# and WPF Development
Demonstrating proficiency in building robust desktop applications with C# and WPF. Exercise: Build a small WPF application that consumes a REST API, ensuring the UI remains responsive during data fetching using asynchronous programming patterns.

Your preparation checklist

Prepare a technical case study on agentic AI workflows
Develop a brief presentation or document detailing a project where you implemented agentic AI. Focus on how you defined specific tasks, managed AI autonomy, and implemented guardrails to ensure reliable, secure, and cost-effective outcomes.
Demonstrate cost-conscious AI development strategies
Prepare to discuss your experience with GitHub Copilot or similar tools, specifically highlighting how you optimize usage to balance developer productivity with the costs associated with premium AI requests.
Review cloud-agnostic architecture patterns
Refine your knowledge of designing applications that remain deployment-agnostic. Be ready to explain how you utilize AWS containers to maintain portability across different cloud or on-premises environments.
Prepare examples of secure, context-aware AI integration
Draft a technical explanation of how you architect products that integrate AI while strictly protecting customer data and maintaining context-awareness, addressing potential security vulnerabilities in AI-driven applications.
Formulate questions regarding client-focused delivery
Prepare thoughtful questions for the interviewer about how the team balances rapid AI-driven development with the specific, often complex, requirements of their client-focused consulting engagements.

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