AWS Agentic AI Architect
Salary not listed
Applogika · Charlotte, NC · Hybrid
Build · Found · posted yesterday
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Agentic AI Architect - Applogika | Charlotte, NC (Hybrid) or Remote, US | Full-time
About Applogika
Applogika is an AWS Advanced Tier Services Partner and Anthropic Claude Select-Tier Partner, We hold 8 AWS Competencies, including AI Services and AI Software, and we deliver generative and agentic AI on Amazon Bedrock and Claude for customers on AWS cloud.
The role
We're hiring an Agentic AI Architect who designs autonomous agent systems on AWS and then builds them, hands on keyboard, through to production. This is not a slideware role. Expect about 60% building and 40% designing, advising, and leading delivery.
What you'll do
• Architect single- and multi-agent systems on Amazon Bedrock AgentCore (Runtime, Memory, Gateway, Identity, Observability)
• Write production Python and TypeScript for agents, tools, and MCP servers, using Claude Code as your daily driver
• Build RAG pipelines end to end: ingestion, chunking, embeddings, hybrid retrieval, reranking, and citations
• Stand up and tune vector stores: OpenSearch Serverless, Aurora pgvector, S3 Vectors, Bedrock Knowledge Bases
• Build eval harnesses for accuracy, groundedness, tool-call correctness, latency, and cost per task
• Apply guardrails, human-in-the-loop checkpoints, and AWS Well-Architected security to agents that act in real systems
• Run Working Backwards/discovery workshops with customers and take proofs of concept to production
• Mentor engineers through our FDE program
What you bring
• 10+ years in software engineering or solutions architecture, 4+ on AWS
• 2+ years shipping generative AI to production, including at least one agentic system that takes real actions
• Hands-on experience with Amazon Bedrock and Anthropic Claude models (tool use, prompt engineering, model selection)
• Experience with an agent framework such as Strands Agents, LangGraph, or CrewAI, plus MCP
• RAG and vector store work with measurable retrieval improvements
• Strong Python, working TypeScript, and CDK or Terraform
• Daily use of AI coding agents like Claude Code
• Clear communication with engineers and executives
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