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