Senior AI Engineer with Amazon Bedrock AgentCore

• Posted 14 hours ago • Updated 3 hours ago
Full Time
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Cloud Computing
  • Artificial Intelligence
  • Management
  • Delegation
  • Collaboration
  • Scalability
  • Python
  • LangChain
  • Distributed Computing
  • Orchestration
  • English
  • Amazon Web Services
  • API
  • Workflow

Summary

We are looking for a Senior AI Engineer to join our team and own the Agent Orchestration Framework, covering multi-agent orchestration patterns, checkpointing/state management, and human-in-the-loop workflow design as part of our Enterprise Agent Development Platform - a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. The platform standardizes agent development across the organization using LangGraph and Strands Agents on AWS AgentCore Runtime, providing a single-file developer experience where the platform handles runtime, tooling, observability, and deployment automatically. Responsibilities Own the design and evolution of the Agent Orchestration Framework across the platform Design and implement multi-agent orchestration patterns such as supervisor/worker and fan-out/fan-in Build and maintain checkpointing and state management mechanisms within LangGraph workflows Architect human-in-the-loop (HITL) workflows to support enterprise approval processes Enable A2A agent delegation through the Agent Gateway Develop and maintain agent runtimes on AWS Bedrock AgentCore Runtime Collaborate with engineering teams to standardize agent development practices across the organization Ensure observability, reliability, and scalability of deployed agents in production environments Requirements 5+ years of experience in Python engineering Hands-on experience with LangGraph and LangChain for multi-step agent workflows Experience with AWS Bedrock AgentCore Runtime Experience with workflow orchestration tools such as Temporal or Airflow, or equivalent platforms Knowledge of stateful distributed system patterns, including checkpointing and idempotency Understanding of multi-agent orchestration patterns, including supervisor/worker and fan-out/fan-in designs Familiarity with human-in-the-loop (HITL) workflow design English proficiency at B2 level or higher Nice to have Experience evaluating AWS AgentCore Runtime maturity Familiarity with AWS Bedrock Memory API Experience integrating enterprise HITL approval workflows
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10330481
  • Position Id: 6d52e096649bc8a50d09336cd6df1a6e
  • Posted 14 hours ago
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