Azure Cloud Developer Consultant

Sierra Business Solution LLC

Boston, MA, United States

22 days ago

Apply on www.dice.com

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

2 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Software Applications ARM Architecture Microsoft Azure Business Software Data Infrastructure Data Integration Monitoring of Systems Python (Programming Language) Cloud Services Azure Machine Learning

+19 more

Software Deployment Software Engineering SQL Databases Systems Integration Enterprise Data Management Enterprise Software Applications Snowflake Prompt Engineering Generative AI Backend Information Technology Data Analytics Data Management Machine Learning Operations Virtual Agents Data Pipelines Automation Anywhere Databricks Microservices

Job description

Seeking an experienced AI Full Stack Developer to design, develop, and deploy enterprise AI applications, intelligent agents, and data-driven solutions leveraging Generative AI, Azure AI services, and modern data platforms., Build AI-powered applications and agentic workflows.

Develop RAG-based knowledge, search, and document intelligence solutions.

Design and develop backend services, APIs, and integration components.

Integrate AI solutions with enterprise data platforms and business applications.

Develop data pipelines and AI workflows.

Deliver scalable, production-ready AI solutions.

Must-Have Skills

Azure AI Foundry & Azure OpenAI
RAG, Vector Databases, Prompt Engineering & Agentic AI Frameworks (LangChain, Semantic Kernel, CrewAI)
Python
Snowflake, SQL & Data Integration
Enterprise API Microservices Development

Nice-to-Have Skills

Databricks

Snowflake Cortex Cortex Agents

Azure ML

MLOps Model Monitoring

Requirements

Bachelors or Masters degree in Computer Science, AI, Data Science, or related field.

5-10 years of software engineering experience.

2+ years of hands-on experience building GenAI, Agentic AI, or AI-powered enterprise applications.

Experience integrating AI solutions with cloud data platforms and enterprise systems., A hands-on AI engineer capable of independently building AI applications and intelligent agents using Azure AI Foundry, integrating with Snowflake-based data platforms, developing AI workflows and data pipelines, and taking solutions from design through production deployment.