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Amazon Python Jobs Near Me

Hands-on experience with Amazon Web Services (AWS) services and cloud delivery practices, including ... Advanced proficiency in Python and/or Java for data engineering and platform development.

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We're building an internal agent platform on Amazon AgentCore that automates analyst workflows ... Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ...

We're building an internal agent platform on Amazon AgentCore that automates analyst workflows ... Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ...

Strong Python experience (must-have). * Experience with cloud infrastructure (must-have). * Ability ... Hands-on experience with Amazon Bedrock for LLM development is preferred. Responsibilities * Design ...

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As of Aug 20, 2026, the average hourly pay for amazon python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

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A map of the United States highlighting the number of Amazon Python job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Amazon Python job openings in each state, with California having the most at 2 and Hawaii the least at 0.

AI Architect with ASP.Net

The Avian Consulting LLC

Marysville, OH • On-site

Other

Posted 2 days ago

New


Job description

Hi,

Hope you are doing well.

Position: AI Architect

Location: Marysville Ohio (Hybrid)

Job description

Design and implement LLMbased applications RAG pipelines agentic workflows finetuning prompt engineering

Integrate foundation models via Amazon Bedrock and manage model selection guardrails and evaluation

Build and optimize vector search and retrieval pipelines Amazon OpenSearch Kendra or thirdparty vector DBs like Pinecone on AWS

Implement agent orchestration frameworks LangChain LangGraph Bedrock Agents for multistep reasoning tasks

Build scalable APIs and microservices using Python FastAPIFlask or Nodejs

Implement data pipelines with AWS Glue EMR or native Python ETL for training inference data prep

Manage containerized workloads via ECSEKS

Build responsive UIs that consume backend AI services

Implement Realtime streaming responses for chatstyle AI interfaces

Integrate authentication Amazon Cognito and rolebased access control

Architect solutions using core AWS services Bedrock SageMaker Lambda API Gateway S3 DynamoDB RDSAurora ECSEKS Step Functions

Set up CICD pipelines CodePipeline CodeBuild or GitHub Actions AWS deploy

Manage cost optimization for AI workloads token usage monitoring model routing caching strategies via ElastiCache

Skills

Mandatory Skills : MVC, AWS AI Services, AWS Bedrock, Prompt Engineering