• Design, develop, and maintain AI-powered features and integrations across our platform, leveraging AWS Bedrock and related AWS AI/ML services. • Evaluate and select appropriate foundation models for specific business problems such as document analysis, intelligent matching, text extraction, and workflow automation. • Write maintainable, scalable, and well-tested code that integrates AI capabilities into existing application workflows. • Build and optimize prompt engineering strategies, retrieval-augmented generation (RAG) pipelines, and other techniques to maximize model accuracy and reliability. • Analyze, diagnose, and modify existing software to correct errors, adapt to new workflows, or improve performance. • Collaborate with product managers and stakeholders to identify processes that can benefit from AI automation and determine feasibility within time and cost constraints. • Establish best practices for AI integration including monitoring, cost management, evaluation frameworks, and responsible AI usage. • Work with other team members to create and evaluate estimates for development efforts based on stakeholder requirements. • Aid testers and support personnel as needed to troubleshoot the root cause of system issues. • Stay current with developments in AI/ML, foundation models, and AWS AI services, and advocate for their adoption where appropriate. • Additional responsibilities as assigned.