Data Scientist II

Conduent, Inc.; Dadri; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Conduent, Inc. is seeking an AI Solutions Engineer to design, build, and deploy Analytics and GenAI solutions on Azure for enterprise customers. You will collaborate with data scientists, engineers, and architects to create scalable AI platforms and reusable capabilities across domains.

You will implement prompt engineering, RAG workflows, AI agents, and API-driven microservices while aligning with DevOps and security standards in a cloud-first environment.

Qualifications

• 5-8 years of software engineering, cloud engineering, analytics, AI, or data development.
• 3+ years delivering cloud-native apps on Azure with hands‑on experience.
• Experience shipping enterprise solutions using modern software practices.
• Experience in Agile teams and cross-functional delivery.

Responsibilities

• Develop, test, and deploy Analytics, AI, and GenAI solutions on Azure.
• Build GenAI apps using Azure OpenAI, AI Foundry, and related services.
• Develop RAG solutions, AI assistants, and knowledge retrieval systems.
• Implement prompt engineering, orchestration, and grounding.
• Design APIs, microservices, and cloud‑native services; maintain CI/CD pipelines.

Skills

Python

REST APIs

Cloud engineering

Agile

DevOps

Education

BS in Computer Science

MS in CS

Tools

Azure

AKS

Docker

Kubernetes

App Service

Azure Functions

Job description

Through our dedicated associates, Conduent delivers mission-critical services and solutions on behalf of Fortune 100 companies and over 500 governments - creating exceptional outcomes for our clients and the millions of people who count on them. You have an opportunity to personally thrive, make a difference and be part of a culture where individuality is noticed and valued every day.

Job Overview

Do you enjoy building modern Analytics, AI, and Generative AI solutions using cutting-edge cloud technologies? Are you passionate about developing intelligent applications, AI agents, enterprise integrations, and scalable cloud-native services? Conduent is seeking an AI Solutions Engineer with strong software engineering, cloud development, and Generative AI expertise to join our Analytics & Data Science Practice. This role is responsible for designing, developing, deploying, and supporting enterprise Analytics, AI, and GenAI solutions leveraging Azure AI services and modern cloud-native technologies. The engineer will work closely with Senior Engineers, Technical Leads, Data Scientists, and Architects to build reusable platform capabilities and deliver innovative solutions across multiple business domains. The role combines hands‑on software engineering, AI application development, cloud deployment, and DevOps practices to create secure, scalable, and production‑ready AI solutions. Success in this role is measured by the ability to rapidly develop, deploy, and operationalize high‑quality Analytics and AI solutions while contributing reusable capabilities that accelerate future delivery.

Responsibilities

• Develop, test, and deploy Analytics, AI, and Generative AI solutions using Azure AI services and modern application development frameworks.
• Build GenAI applications leveraging Azure AI Foundry, Azure OpenAI, Azure AI Search, and related Azure services.
• Develop Retrieval‑Augmented Generation (RAG) solutions, AI assistants, AI agents, knowledge retrieval systems, and intelligent business applications.
• Implement prompt engineering, prompt orchestration, and grounding.
• Develop AI agents, agent workflows, and multi‑step reasoning processes to automate tasks and user interactions.
• Implement tool integrations, workflow orchestration, and human‑in‑the‑loop capabilities.
• Design and develop APIs, microservices, integrations, and cloud‑native services.
• Deploy, configure, and support solutions across Azure cloud environments.
• Develop and maintain infrastructure, application configurations, and deployment assets supporting solution delivery.
• Perform unit testing, integration testing, debugging, and performance optimization.
• Build and maintain CI/CD pipelines supporting automated testing and deployment.
• Work with Azure services including App Services, Azure Functions, Container Apps, Storage, Key Vault, API Management, and related platform components.
• Support production deployments, release validation, and operational readiness activities.
• Follow established development standards, architecture guidelines, DevOps practices, and coding standards.
• Participate in code reviews, design reviews and contribute to technical documentation, implementation guides, deployment procedures, and operational runbooks.
• Participate in Agile planning, sprint execution, estimation, and delivery activities.
• Stay current with advances in AI, GenAI, cloud technologies, and software engineering practices.

Experience Needed

• 5-8 years of experience in software engineering, cloud engineering, analytics, AI, data engineering, or application development.
• 3+ years experience developing and delivering cloud‑native applications and services. Hands‑on Azure experience is required.
• Experience delivering enterprise solutions using modern software development practices.
• Experience working within Agile and cross‑functional delivery teams.
• Hands‑on expertise to develop and deploy applications on Azure, including services such as App Service, Azure Functions, Container Apps, Azure AI Foundry, AKS, Storage, Key Vault, API Management, or similar components.
• Hands‑on experience delivering GenAI solutions into production environments including prompt and RAG (retrieval‑augmented generation) patterns, responsible AI controls & guardrails, AI orchestration.
• Strong Python development skills.
• Experience building REST APIs, microservices and implementing cloud‑native applications.
• Strong understanding of software architecture principles and design patterns.
• Experience building containerized applications using Docker and Kubernetes technologies.
• Familiarity with front‑end application development and modern application frameworks.
• Experience with: CI/CD pipelines, Infrastructure‑as‑Code, Test automation, Monitoring and observability, Production support processes, Root cause analysis and Performance optimization.
• BS or Master's degree in Computer Science, Software Engineering, Data Science, or a related technical discipline.

Additional Requirements

• Strong written and verbal communication skills.
• Ability to work directly with technical and business stakeholders.
• Experience supporting global onshore/offshore delivery models.
• Strong problem‑solving and analytical skills.
• Ability to balance hands‑on development responsibilities with technical leadership responsibilities.
• Passion for emerging Analytics, AI, and GenAI technologies.

Conduent is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, gender expression, sex/gender, marital status, sexual orientation, physical or mental disability, medical condition, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law.