AI Architect

System Soft Technologies; Montgomery (AL); On-site; USD 80,000 - 120,000; Full time

Job summary

System Soft Technologies in Montgomery, Alabama, seeks an onsite AI Application Developer focused on generative and agentic AI. You will build, test, and maintain agentic tools in Python, help design system architecture, and support MCP server integration for AI applications in production.

The role involves deploying and maintaining AI software in Docker containers, assisting with LLMs using vLLM, updating WebUI configurations, creating training materials, and ensuring security compliance with

Qualifications

• Develop, maintain, and test agentic tools using Python as the primary programming language.
• Assist with development of system architecture.
• Build and maintain MCP (Model Context Protocol) servers for AI application integration.
• Deploy, operate, and maintain AI applications in production environments (Docker containers).
• Assist with deployment and maintenance of Large Language Models (LLMs) using vLLM in Docker containerized environments.
• Assist with the maintenance and upkeep of Open WebUI instances and configurations.
• Create documentation and training materials for user education in AI applications.
• Participate in agile development processes and team collaboration.

Responsibilities

• AI Application Development and Testing.
• Develop, maintain, and test agentic tools using Python as the primary language.
• Assist with deployment and maintenance of LLMs using vLLM in Docker environments.
• Deploy, operate, and maintain AI applications in production environments.

Skills

Python

Agile development

Docker

Tools

Git

Azure DevOps

vLLM

Open WebUI

Job description

This is for an onsite-only position; remote working will not be considered. The focus of this role is generative and agentic AI. Responsibilities include but not limited to:

Responsibilities

• AI Application Development and Testing


• Develop, maintain, and test agentic tools using Python as the primary programming language.


• Assist with development of system architecture


• Build and maintain MCP (Model Context Protocol) servers for AI application integration.


• Create and maintain other AI applications as directed by the AI Director and Lead AI Developer.


• Deployment, Operation, and Maintenance


• Deploy, operate, and maintain developed AI applications in production environments. Most AI applications run as Docker containers.


• Assist with the deployment and maintenance of Large Language Models (LLMs) using vLLM in Docker containerized environments.


• Assist with the maintenance and upkeep of Open WebUI instances and configurations.


• Provide ongoing support for developed applications to ensure operational stability.


• Documentation and Training


• Develop documentation and training materials for user education in the use of AI applications.


• Assist with the Development and delivery of training sessions in-person at Medicaid or recorded sessions for on-demand training.


• Assist in the maintenance and upkeep of Alabama Medicaid AI knowledge bases used for Retrieval Augmented Generation (RAG).


• Server Administration Support


• Assist the AI Director and Lead AI Developer with server admin tasks related to AI server and application deployments.


• Assist the AI Director and Lead AI Developer with AI model testing and fine-tuning activities.


• Monitor system health and performance of AI infrastructure components.


• Security and Compliance


• Work with the Information Security Office to ensure that developed code and Docker images have been reviewed for security vulnerabilities.


• Work to resolve any security vulnerabilities that are discovered.


• Ensure all AI applications comply with Alabama Medicaid Agency security policies and healthcare data privacy regulations (HIPAA).


• Additional Responsibilities


• Assist with other AI-related tasks at the direction of the CIO, AI Director, and Lead AI Developer as needed.


• Participate in agile development processes and team collaboration activities.


• Maintain version control of all code and documentation using Git, Azure DevOps, and other approved tools.

Qualifications

• Develop, maintain, and test agentic tools using Python as the primary programming language.


• Assist with development of system architecture


• Build and maintain MCP (Model Context Protocol) servers for AI application integration.


• Create and maintain other AI applications as directed by the AI Director and Lead AI Developer.


• Deploy, operate, and maintain developed AI applications in production environments. Most AI applications run as Docker containers.


• Assist with the deployment and maintenance of Large Language Models (LLMs) using vLLM in Docker containerized environments.


• Assist with the maintenance and upkeep of Open WebUI instances and configurations.


• Develop documentation and training materials for user education in the use of AI applications.


• Work with the Information Security Office to ensure that developed code and Docker images have been reviewed for security vulnerabilities