Senior AWS Platform Architect - AI Agents & Observability

GlobalLogic; Philadelphia (Philadelphia County); On-site; USD 180,000 - 200,000; Full time

Benefits offered by this job

Exciting Projects

Collaborative Environment

Work-Life Balance

Professional Development

Excellent Benefits

Job summary

GlobalLogic is seeking an AWS Platform Architect for Agentcore IRC298869 in Philadelphia, PA. You will lead the hardening of the new AWS AgentCore platform, enabling teams to develop and deploy AI agents with robust observability and cost controls.

Role emphasizes implementing SDLC for agents, AWS Bedrock, Sagemaker, and Terraform-based infrastructure, alongside observability and security integrations with MCP servers and IAM best practices.

Qualifications

• Implementation of Agents on Agentcore runtime.
• Implementation of SDLC for Agents (AIDLC) in Agentcore.
• Understanding of Strands or any other Agentic AI framework like Langraph, Langchain or Crew AI.
• Implementation of Bedrock Knowledge Base.
• Implementation of Knowledge Graph & MCP servers.
• Implementation of Agentcore Gateway & Agentcore Identity.
• Implementation of Agentic AI Observability & Agentcore Evaluations.
• Implementation of AWS Bedrock & AWS Bedrock Inference Profile.
• Implementation of AWS Sagemaker.
• AWS Services (Cloud) in General & Terraform.

Responsibilities

• Assess CloudWatch, X-Ray, Bedrock logging, AgentCore traces vs. agentic workflow requirements; produce gap analysis, Setup observability in Dynatrace
• Design post-deployment validation pipeline for agents & MCP servers (deployment health + tool registration checks)
• Implement distributed tracing & structured logging: LLM decisions, tool selections, sub-agent calls, MCP interactions
• Evaluate LangFuse / LiteLLM proxy vs. AWS-native; deliver target-state observability architecture recommendation
• Extend tagging taxonomy to cover agent runtimes, MCP servers, vector DBs, Bedrock token consumption per namespace
• Design cost visibility model: aggregate agent, MCP, vector DB, and Bedrock token costs per team/department
• Build CloudWatch (or equivalent) dashboards for per-team spend; configure AWS Budgets with alerting thresholds
• Automate cost reports delivered via email / Microsoft Teams; implement anomaly detection rules
• Define P1–P4 alerting rules: deployment failures, runtime errors, tool invocation failures, MCP connectivity issues
• Integrate alert notifications to Microsoft Teams channels and email; route by resource ownership tags
• Author runbooks linked to every alert; publish in Confluence for developer self-service resolution
• Evaluate AWS-native vs. third-party monitoring stack; deliver recommendation aligned to observability architecture

Skills

Agentic & Multi-Agent Systems

AWS

AWS Bedrock

MCP

Terraform

Tools

AWS Bedrock

Terraform

MCP

AWS

Job description

GlobalLogic is seeking an AWS Platform Architect for Agentcore IRC298869 in Philadelphia, PA. You will lead the hardening of the new AWS AgentCore platform, enabling teams to develop and deploy AI agents with robust observability and cost controls.

Role emphasizes implementing SDLC for agents, AWS Bedrock, Sagemaker, and Terraform-based infrastructure, alongside observability and security integrations with MCP servers and IAM best practices.