Artificial Intelligence

• Define, document, and maintain a scalable, modular AI/ML architecture aligned with enterprise cloud strategy and CMM Program requirements
• Architect and implement end-to-end AI/ML pipelines covering data ingestion, feature engineering, model training, deployment, monitoring, and retraining
• Integrate MLOps best practices for continuous integration, delivery, and machine learning model lifecycle management
• Ensure multi-tenant and multi-region AI/ML workloads are elastic, highly available, and cost-efficient
• Use Infrastructure-as-Code tools to provision and manage cloud-based AI/ML infrastructure according to federal compliance and security standards
• Design and support reusable, secure, performant AI/ML services and APIs for enterprise applications
• Conduct model validation and optimization in cloud environments while ensuring responsible AI, fairness, and transparency
• Maintain AI/ML architecture documentation and update artifacts per sprint cycles or as changes occur
• Support inclusion of AI/ML metrics, resource utilization, and performance KPIs in technical dashboards and reports
• Guide teams in selecting and securely integrating third-party ML tools, frameworks, or SaaS offerings
• Provide technical leadership, strategic direction, and AI/ML architecture tool recommendations for the CMM Program

Explore AI/ML Architect, SME at LouisianaNOW.Jobs. Review requirements and application details.