AI/ML Enablement & Platform Engineering

The contract seeks to establish support for artificial intelligence and machine learning workloads on Amazon Web Services using SageMaker, with a focus on building and maintaining end-to-end data pipelines, scalable model training infrastructure, and MLOps automation frameworks. The work will involve designing and implementing robust, reproducible workflows that integrate data ingestion, preprocessing, model training, validation, deployment, and monitoring, all optimized for AWS environments. Emphasis is placed on automation, governance, and scalability to ensure efficient delivery of AI/ML solutions with minimal manual intervention and maximum reliability. The contract is a subcontract under the Massachusetts Executive Office of Technology Services and Security, with performance centered in Boston, Massachusetts, and a response deadline of September 16, 2026. It is classified under NAICS code 541511, indicating computer systems design and related services, and is intended to enhance the state’s capability to deploy and manage advanced AI/ML capabilities for public sector applications. The scope requires deep expertise in cloud-native machine learning platforms, infrastructure as code, continuous integration and delivery pipelines, and operational monitoring tools to ensure models remain accurate, secure, and compliant throughout their lifecycle.