Key responsibilities

• Build and integrate generative AI applications for customer interactions using LLMs and orchestration frameworks
• Drive the design, development, and scaling of internal AI agents and customer-facing agentic solutions (e.g. GenAI-powered contact centers)
• Design and deploy solutions on AWS Bedrock using foundation models from leading providers
• Fine-tune and evaluate large language models using proprietary and external datasets
• Build scalable APIs and backend services to support real-time AI inference
• Ensure reliability, privacy, and accuracy of GenAI outputs through testing and monitoring
• Contribute to AI governance by ensuring solutions follow responsible AI principles (e.g. transparency, data privacy, compliance)
• Collaborate with data science teams to apply GenAI across business use cases (e.g. document processing, claims decisioning, reporting)
• Support bolt...