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Data Scientist II
Noida, Uttar Pradesh, India
Actively hiring, first seen by us today- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: Hybrid
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingBuild GenAI apps with Azure AI Foundry, Azure OpenAI and Azure AI Search
Develop RAG solutions, AI assistants and AI agents
Design and develop APIs, microservices and cloud-native services
Build and maintain CI/CD pipelines for automated testing and deployment
Support production deployments and release validation
From the employer’s posting
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.
Design and develop APIs, microservices, integrations, and cloud-native services.
Build and maintain CI/CD pipelines supporting automated testing and deployment.
Support production deployments, release validation, and operational readiness activities.
Education & alternatives
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
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 4, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Conduent is hiring
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Azure
- Docker
- Kubernetes
Where the posting names them
• Hands-on experience delivering GenAI solutions into production environments including prompt and RAG (retrieval[1]augmented generation) patterns, responsible AI controls & guardrails, AI orchestration. • Strong Python development skills. • Experience building REST APIs, microservices and implementing cloud-native applications.
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
Responsibilities: • Develop, test, and deploy Analytics, AI, and Generative AI solutions using Azure AI services and modern application development frameworks.
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,
• 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.
• 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.
development. • 3+ years experience developing and delivering cloud-native applications and services. Hands-on Azure experience is required.
• 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 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[1]augmented generation) patterns, responsible AI controls & guardrails, AI orchestration.
• 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.
Your next step
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About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
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, & 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:
• 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[1]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
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Noida, Uttar Pradesh, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.