Data Scientist I

Mployee.me; India; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Conduent is seeking an experienced software/AI engineer to join our cloud analytics team in India. You will design, develop, test, and deploy GenAI and AI-powered solutions on Azure, building scalable microservices and REST APIs.

You will work with Azure AI Foundry, Azure OpenAI, AKS, Storage, Key Vault, and CI/CD pipelines, applying prompt engineering, RAG patterns, and responsible AI controls while collaborating with cross-functional teams in an Agile environment.

Qualifications

• 3–5 years in software, cloud, or AI engineering.
• 2+ years building cloud-native apps on Azure.
• BS or MS in Computer Science, Software Engineering, Data Science, or a related technical discipline.

Responsibilities

• Develop, test, and deploy Analytics, AI, and Generative AI solutions on Azure.
• Build GenAI apps leveraging Azure AI Foundry, OpenAI, and related services.
• Develop RAG solutions, AI assistants, agents, and knowledge retrieval systems.
• Implement prompt engineering, orchestration, and grounding.
• Design APIs, microservices, and cloud-native services.
• Deploy and support solutions across Azure environments.
• Maintain CI/CD pipelines and automated testing.
• Collaborate in Agile planning and delivery.

Skills

Python development

GenAI/AI engineering

REST APIs

CI/CD

Agile teamwork

Cloud architecture

Education

Bachelor's or Master's in CS/SE/Data Science

Tools

Azure Functions

AKS

Azure OpenAI

Azure Foundry

Docker

Kubernetes

API Management

Job description

Job Summary

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.

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, 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, 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, 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

• 3-5 years of experience in software engineering, cloud engineering, analytics, AI, data engineering, or application development.
• 2+ 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.