Senior Azure Foundry AI Engineer (Remote)

SMART TECH SKILLS LLC; Reading (Berks County); Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Remote work

Job summary

SMART TECH SKILLS LLC seeks a Senior Azure Foundry Engineer to design, build, and operationalize AI solutions using Azure AI Foundry and Microsoft AI tools. This short-term engagement (≈1 month) stands up a new AI Foundry environment and delivers a working solution overview on completion.

The candidate should move quickly and work independently, configuring LLMs, RAG architectures, vector databases, and governance while integrating with Azure services.

Qualifications

• Hands-on experience with Azure AI Foundry.
• Experience with Azure OpenAI Service and Azure Machine Learning.
• Experience configuring and managing LLMs and prompt orchestration.
• Experience integrating AI solutions with Azure services, APIs, and enterprise systems.
• Experience implementing RAG architectures and vector databases.
• Development experience in Python, C#, or a similar language.
• Experience with Azure security and DevOps practices.

Responsibilities

• Develop and deploy generative AI solutions using Azure AI Foundry.
• Configure and manage LLMs, prompt orchestration, and AI applications.
• Implement Retrieval-Augmented Generation architectures, vector databases, and knowledge retrieval solutions.
• Integrate AI solutions with Azure services, APIs, and enterprise systems.
• Build out the AI Foundry environment and tenant configuration from an initial baseline.
• Establish security, monitoring, and governance controls for AI workloads.
• Provide a clear solution overview and documentation once the environment is built.

Skills

Azure Foundry

Azure OpenAI

LLM configuration

RAG architectures

Vector databases

Python

C#

Azure DevOps

Tools

Azure Functions

Logic Apps

API Management

Job description

SMART TECH SKILLS LLC seeks a Senior Azure Foundry Engineer to design, build, and operationalize AI solutions using Azure AI Foundry and Microsoft AI tools. This short-term engagement (≈1 month) stands up a new AI Foundry environment and delivers a working solution overview on completion.

The candidate should move quickly and work independently, configuring LLMs, RAG architectures, vector databases, and governance while integrating with Azure services.