Contruent

AI Engineer

• Partner with the Manager of Data Science & AI Engineering to scope and deliver AI-driven product features and internal tools.
• Design and implement machine learning and generative AI solutions using cloud services such as AWS Bedrock, SageMaker, and Amazon Q in QuickSight.
• Integrate AI services into web and application layers (e.g., via REST APIs, LangChain, or Bedrock SDK).
• Develop proof-of-concepts for natural language querying, document summarization, forecasting, and user experience enhancements using AI.
• Work with structured and unstructured data stored in AWS RDS, SQL Server, and other data sources.
• Collaborate with data engineering and analytics teams using tools like Power BI, QuickSight, and Python-based data pipelines.
• Ensure responsible AI design, including model monitoring, bias testing, and performance validation.
• Stay current with emerging technologies in AI (LLMs, vector databases, RAG architectures, and MLOps best practices).