Data Scientist I

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[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