AWS Platform Architect – Agentcore IRC298869

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

AWS Platform Architect – Agentcore IRC298869

Function

Software Product Engineering

Experience

10-15 years

Location

United States - Philadelphia PA

Skills

Agentic & Multi-Agent Systems, AWS, AWS Bedrock, MCP, Terraform

Work with Client team to harden the new AWS AgentCore platform being setup so it can be used by teams to develop and deploy AI agents.

Requirements

• 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

Job responsibilities

Observability

• 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

Cost Tracking & TCO

• 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

Monitoring & Alerting

• 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

Security & Access Control

• Assess current IAM + tagging approach for multi-team isolation; identify scalability gaps and risks
• Evaluate Cedar policy engine (AgentCore) for fine-grained tool access control; document enterprise-scale gaps
• Design scalable ABAC-based identity model for multi-team isolation without IAM policy sprawl; deliver Terraform modules.

GlobalLogic estimates the starting pay range for this role to be performed in Reading, PA is $180,000 to $200,000 and reflects base salary only. This pay range is provided as a good faith estimate and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.

What we offer

Exciting Projects:Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.

Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance:GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules and opportunities to work from home.

Professional Development:We provide continuing education classes, professional certification and training (technical, soft skills, language, and communication skills) to help you realize your professional goals. Being part of a global organization, there are additional learning opportunities through international knowledge exchanges.

Excellent Benefits:We provide our employees with competitive salaries, health and life insurance, short-term and long-term disability insurance, a matched contribution 401K plan, flexible spending accounts, and PTO and holidays

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.