> Markdown version of [/jobs/ext/4558763-ai-ml-agentcore-consultant](https://www.wearedevelopers.com/jobs/ext/4558763-ai-ml-agentcore-consultant). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI/ML & AgentCore Consultant

- **Company:** LTD Global
- **Location:** United States (Remote available)
- **Contract:** Contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Automation of Tests, Software as a Service, Cloud Computing, Continuous Integration, Amazon DynamoDB, Identity and Access Management, Information Extraction, Python (Programming Language), Named Entity Recognition, Systems Integration, AI Infrastructure, AWS Cdk, Data Logging, Delivery Pipeline, Multi-Agent Systems, AgentCore, Generative AI, AWS Lambda, Infrastructure as Code (IaC), Agentic-AI, AWS ECS, Amazon Bedrock, Evaluation of Large Language Models, Api Gateway, Model Context Protocol, Terraform, Intelligent Document Processing, Data Pipelines, AWS EKS, Microservices, Agent2Agent Protocol
- **Published:** November 4, 2026
- **Apply:** https://www.dice.com/job-detail/7266568b-6f52-4883-bec6-37e5910337cd

## About the Role

* GenAI & Agent Frameworks: Deep proficiency in Strands, LangGraph, and LangChain, with hands-on experience orchestrating complex multi-agent workflows.
 * Agent Protocols: Practical implementation experience with Model Context Protocol (MCP) and Agent-to-Agent (A2A) tool integrations.
 * AWS & Infrastructure: Deep expertise in Amazon Bedrock, AgentCore, ECS, EKS, AWS Lambda, Amazon API Gateway, DynamoDB, and IAM.
 * Infrastructure as Code (IaC): Proven track record deploying production AI infrastructure via Terraform or AWS CDK.
 * Architecture: Strong background in SaaS multi-tenancy, distributed microservices, and asynchronous event-driven Python architectures.
 * Evaluations & Governance: Experience with Amazon Bedrock Guardrails, AgentCore policies, ground-truth test datasets, and automated LLM evaluation metrics.
 * Data Pipelines: Hands-on experience developing OCR/IDP document extraction pipelines.

## Description

We are seeking an experienced AI/ML & AgentCore Consultant to drive the architecture, implementation, and operationalization of enterprise-scale Generative AI and multi-agent solutions. In this role, you will design production-grade agent runtimes, implement multi-tenant SaaS architectures, and establish robust governance, evaluation, and CI/CD deployment pipelines on AWS., * Architect, implement, and operationalize enterprise-grade GenAI architectures and multi-agent systems focused on production reliability and scale.

 * Design and manage the end-to-end deployment lifecycle for Agent Runtimes on AgentCore, AWS ECS, and AWS EKS.
 * Implement and configure core AgentCore primitives: Gateway, Identity, Memory, Observability, and Evaluations.
 * Build multi-tenant SaaS AI architectures featuring federated governance, secure boundaries, and centralized control planes.
 * Develop resilient, asynchronous Python services with structured logging, advanced error handling, SDK integrations, and automated testing suites.
 * Orchestrate multi-agent workflows utilizing agent SDKs (Strands, LangChain, LangGraph) and cutting-edge agent/tool protocols (MCP, A2A).
 * Construct Intelligent Document Processing (IDP) and OCR pipelines for entity extraction, categorization, and contextual grounding.
 * Provision and maintain modular cloud infrastructure using Infrastructure as Code (Terraform, AWS CDK, and IAM).
 * Enforce enterprise guardrails and regulatory compliance using Amazon Bedrock Guardrails and AgentCore policy enforcement.
 * Establish automated model and agent evaluation frameworks, ground-truth benchmarking, and A/B rollout pipelines.