Galent
Agentic AI Amazon Bedrock
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Agentic AI Amazon Bedrock freelancer, offering a contract length of "unknown" and a pay rate of "unknown." Key skills required include strong Python and AWS fundamentals, hands-on experience with Amazon Bedrock, and familiarity with agent frameworks.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
March 11, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Richardson, TX
-
🧠 - Skills detailed
#Python #Scala #Security #Logging #AI (Artificial Intelligence) #IAM (Identity and Access Management) #Lambda (AWS Lambda) #AWS (Amazon Web Services) #Observability #AWS Lambda
Role description
Agentic AI Amazon Bedrock Skill Set Summary
Strong understanding of Agentic AI concepts goaldriven agents planning reasoning loops tool usage memory and feedback mechanisms
Handson experience with Amazon Bedrock including model selection prompt design and agent behavior tuning
Ability to build and integrate Amazon Bedrock Agents with tools APIs and AWS Lambda actions
Experience with Amazon Bedrock AgentCore for productiongrade scalable and multiagent orchestration
Familiarity with agent frameworks and patterns such as LangGraph CrewAI or Strands for orchestration and workflow design
Knowledge of Model Context Protocol MCP and agenttoagent communication concepts for context and tool exchange
Implementation of RAG and knowledge grounding using Amazon Bedrock Knowledge Bases
Awareness of security guardrails and governance using Amazon Bedrock Guardrails IAM controls and enterprise safety patterns
Ability to monitor debug and optimize agents using observability logging and tracing mechanisms
Strong Python and AWS fundamentals Lambda APIs data stores to support endtoend agent development
Agentic AI Amazon Bedrock Skill Set Summary
Strong understanding of Agentic AI concepts goaldriven agents planning reasoning loops tool usage memory and feedback mechanisms
Handson experience with Amazon Bedrock including model selection prompt design and agent behavior tuning
Ability to build and integrate Amazon Bedrock Agents with tools APIs and AWS Lambda actions
Experience with Amazon Bedrock AgentCore for productiongrade scalable and multiagent orchestration
Familiarity with agent frameworks and patterns such as LangGraph CrewAI or Strands for orchestration and workflow design
Knowledge of Model Context Protocol MCP and agenttoagent communication concepts for context and tool exchange
Implementation of RAG and knowledge grounding using Amazon Bedrock Knowledge Bases
Awareness of security guardrails and governance using Amazon Bedrock Guardrails IAM controls and enterprise safety patterns
Ability to monitor debug and optimize agents using observability logging and tracing mechanisms
Strong Python and AWS fundamentals Lambda APIs data stores to support endtoend agent development
