AI Architect

About the role

AI Architect position located in Montgomery, Alabama. Duration: 1 Year. Work mode: Onsite (from day one). Special requirement: candidate must work 100% in the Montgomery AL Main Office. This role does not offer sponsorship. Confirmation needed if candidate is eligible for conversion to Merit. Only W2 candidates who are US Citizens or Green Card holders will be considered.

Responsibilities

• 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 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.
• Assist with the development and delivery of training sessions (in‑person at Medicaid or recorded for on‑demand).
• Assist in the maintenance and upkeep of Alabama Medicaid AI knowledge bases used for Retrieval Augmented Generation (RAG).
• 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.
• 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).
• 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.

Skills

• 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 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.

Qualifications

• Bachelor's Degree