We are looking for a Senior GenAI Engineer to design, build, and operationalize agentic AI solutions on Amazon Bedrock AgentCore for a contact center transformation initiative. The consultant will implement multi-agent workflows, develop LLM-powered conversational experiences, and integrate with Amazon Connect.
Design and implement multi-agent workflows on Amazon Bedrock AgentCore to orchestrate complex, automated business processes Build agentic AI solutions incorporating tool use, memory management, and orchestration patterns to enable autonomous, context-aware agent behavior Develop prompt engineering strategies and context assembly techniques optimized for production-grade workloads Integrate agentic AI capabilities with Amazon Connect contact center flows to enhance customer interaction automation Implement LLM-powered applications leveraging Amazon Bedrock foundation models to deliver scalable generative AI capabilities Build RAG (Retrieval-Augmented Generation) pipelines and knowledge base integrations to ground model outputs in accurate, up-to-date information Design and deploy conversational AI experiences for customer-facing channels, ensuring natural and effective user interactions Implement guardrails, safety controls, and compliance measures to ensure responsible and secure AI deployment Deploy solutions using AWS serverless services, including Lambda, Step Functions, and API Gateway,



to build scalable and cost-efficient architectures Build evaluation pipelines to continuously assess model and prompt quality and ensure production readiness Instrument observability tooling and optimize solutions for cost and latency in production environments Collaborate with customer stakeholders to gather requirements, gather feedback, and iterate on solutions throughout the project lifecycle A minimum of 3 years of relevant experience in AI/ML engineering roles Hands-on experience with Amazon Bedrock for building and deploying generative AI applications Proven experience in generative AI/LLM application development, including designing prompts, integrating foundation models, and building production-grade AI-powered features Experience building agentic and multi-agent workflows, enabling autonomous task execution, tool integration, and orchestration between multiple AI agents Strong proficiency in Python for developing ML/AI applications, including data processing, model integration, and API development Solid understanding of AWS serverless architecture, including services such as Lambda, Step Functions, and API Gateway, for building scalable and resilient cloud-native solutions Excellent English communication skills (B2 level or higher) Experience with Amazon Connect integration for building and enhancing contact center automation and customer service workflows Familiarity with Bedrock AgentCore for developing and managing advanced multi-agent orchestration and agentic AI solutions Knowledge of MLOps/LLMOps practices for managing the full lifecycle of ML/AI models, including deployment, monitoring, versioning, and continuous improvement in production environments

📌 Senior Genai Engineer (México)
🏢 Epam Systems
📍 México