Azure Foundry Engineer

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

Benefits:

Competitive salary

Location Remote.

Experience Level Senior Level (7+ years of experience).

Role Overview

We are seeking a Senior Azure Foundry Engineer to design, build, and operationalize AI solutions using Azure AI Foundry and the broader Microsoft AI ecosystem. This is a short-term engagement (approximately one month) focused on standing up a new AI Foundry environment from the ground up and delivering a working solution overview upon completion. The ideal candidate can move quickly and independently to build a functional foundation with minimal ramp-up time.

Key Responsibilities

AI Solution Development

Develop and deploy generative AI solutions using Azure AI Foundry.

Configure and manage large language models (LLMs), prompt orchestration, and AI applications.

Implement Retrieval-Augmented Generation (RAG) architectures, vector databases, and knowledge retrieval solutions.

Integration & Architecture

Integrate AI solutions with Azure services, APIs, and enterprise systems.

Build out the AI Foundry environment and tenant configuration from an initial baseline.

Governance & Optimization

Establish security, monitoring, and governance controls for AI workloads.

Optimize model performance, cost, and scalability.

Delivery & Documentation

Provide a clear solution overview and documentation once the environment is built out.

Work independently to deliver a functional AI Foundry solution within a compressed timeline.

Required 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.

Preferred Qualifications

• Experience with Azure Functions, Logic Apps, and API Management.
• Experience working on short-cycle, fast-turnaround engagements.
• Experience establishing new AI environments or tenants from scratch.

Core Skills & Attributes

• Strong technical judgment and ability to work independently with minimal setup time.
• Fast learner comfortable operating in ambiguous, early-stage environments.
• Strong communication skills to deliver clear solution overviews to stakeholders.
• Detail-oriented with a focus on security, governance, and scalability.
• Comfortable delivering results within a compressed, short-term timeline.

This is a remote position.