Full Time role. No C2C Allowed.
Agentic AI Engineer Bedrock Agents & AgentCore Hands-on experience building and deploying AI agents using Amazon Bedrock Agents and AgentCore Runtime, including agent orchestration, multi-agent workflows, session management, and serverless deployment patterns.
Agent Tool Development Ability to design and implement agent tools (Lambda-backed, API Gateway, MCP) that enable agents to interact with backend services for data ingestion, model execution, and reporting workflows within the MMix pipeline.
Strands Agents SDK Experience with the Strands Agents framework for building custom agents with tool use, conversation management, and integration with Bedrock foundation models.
Prompt Engineering & Agent Reasoning Strong understanding of prompt design for agentic workflows system prompts, tool selection instructions, chain-of-thought reasoning, and guardrails to ensure agents follow prescribed MMix workflows (data validation model training output generation reporting).
AgentCore Identity & Security Knowledge of AgentCore Identity for agent authentication, workload identities, credential providers (OAuth2, API key), and secure access to customer data sources and downstream services within Merck's security requirements. Knowledge
Bases & RAG Experience setting up and tuning Bedrock Knowledge Bases for domain-specific retrieval, including data source ingestion, chunking strategies, embedding models, and integrating retrieved context into agent responses for marketing mix domain knowledge.
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