AI/ML/AgentCore Consultant
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Role details
Tech stack
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Requirements
Artificial Intelligence (AI), Consulting, Artificial Intelligence (AI), Consulting, Use Cases, AWS Lambda, Software as a Service (SaaS), MCP - Microsoft Certified Professional, Python Programming/Scripting Language, Application Programming Interface (API), Enterprise-scale GenAI architecture, implementation, and operationalization focused on production ready AI use cases & systems Deployment lifecycle expertise for Agent Runtimes including on AgentCore, ECS, EKS Good knowledge of AgentCore primitives: Gateway Identity Memory Observability Evaluations Expertise in automated deployment pipelines, A/B deployments, and monitoring and observability IaC skills IAM/CDK and/or Terraform Experience with multi-tenancy (SaaS) AI workloads with federated governance and centralized control-planes Well rounded expertise on AWS infrastructure Core services: Amazon Bedrock, AgentCore, ECS, EKS, Lambda, API Gateway, DynamoDB Agent Development & Frameworks LLM & Prompt Engineering Proficient in Agent SDKs: Strands, LangChain, LangGraph Python async error handling, logging, SDK integrations, test frameworks OCR/IDP pipelines, entity extraction and classification Experience with Agentic and tool protocols: MCP, A2A Data Engineering AI Architecture Advanced proficiency in multi-agent orchestration Governance & Compliance Implementation experience with Bedrock Guardrails and AgentCore policy enforcement Experience with Agent and Model Evaluations and Groundtruth testing
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Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
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