AWS AI Engineer / Amazon Bedrock Agent Engineer
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- Build Bedrock applications and Strands agents with cloud-native engineering discipline
- Ground, integrate and orchestrate agents across AWS services and enterprise data
- Operate secure, observable and reliable agent systems at enterprise scale
Benchmark: AWS Bedrock AgentCore / AWS Agentic AI engineering + Specialist AI Tooling software-engineering signals (current Sep 2026). Market refresh: Amazon Bedrock foundation models; Strands Agents; AgentCore Runtime/Memory/Gateway/Identity/Observability/Evaluations; Knowledge Bases/RAG; MCP/A2A; Guardrails; IAM; CloudWatch; cloud-scale reliability.
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Build Bedrock applications and Strands agents with cloud-native engineering discipline
Amazon Bedrock foundation-model application engineering
Coverage: Amazon Bedrock / Foundation Models / Structured Outputs / Prompt Engineering / Model Selection / IAM
Strands Agents + AgentCore developer workflow
Coverage: Strands Agents / AgentCore Runtime / SDKs & CLI / Infrastructure as Code / Tool Calling
Ground, integrate and orchestrate agents across AWS services and enterprise data
Knowledge Bases, RAG + memory
Coverage: Bedrock Knowledge Bases / Agentic RAG / S3 Vectors / AgentCore Memory / Retrieval
MCP, A2A + AgentCore Gateway integration
Coverage: AgentCore Gateway / MCP / A2A / APIs / Lambda / Multi-Agent / Identity
Operate secure, observable and reliable agent systems at enterprise scale
Evaluation, observability + production reliability
Coverage: AgentCore Evaluations / Observability / CloudWatch / Tracing / SLOs / Cost-Latency
Identity, Guardrails + agent security
Coverage: AgentCore Identity / IAM / Bedrock Guardrails / Red Teaming / Least Privilege / Zero Trust
Role-Readiness Proof / Capstone
Engineer a production AWS agentic application for a real enterprise workflow. Use Amazon Bedrock with a Strands-based agent; deploy through AgentCore Runtime; ground the workflow with Knowledge Bases, S3 Vectors or enterprise data; add durable AgentCore Memory and at least two tools through Gateway/MCP or AWS APIs; use A2A or multi-agent orchestration only where it improves the task; enforce AgentCore Identity/IAM least privilege and Bedrock Guardrails; add evaluations, CloudWatch traces, reliability and cost targets; run an adversarial/security test plus failure drill; and ship an IaC-backed deployment, runbook and measurable task-success readout.
Proof Rubric
- Prove Bedrock/model judgment
- reliable Strands agent behavior
- correct Runtime, Memory, Gateway and tool contracts
- grounded retrieval
- secure AgentCore Identity and IAM boundaries
- Guardrails and adversarial-test evidence
- eval/regression quality gates
- useful observability
- resilient deployment and recovery
- latency/cost discipline
- measurable task success
- and clear tradeoffs among managed AgentCore services, serverless/container deployment, single-vs-multi-agent, autonomy-vs-human approval and capability-vs-risk