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# AWS Bedrock Platform Engineer

- **Company:** ALT+CO LLC
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Amazon Web Services, Amazon S3, Continuous Integration, DevOps, Github, HP Systems Insight Manager, Identity and Access Management, Python (Programming Language), Bedrock Knowledge Bases, Search Technologies, Software Deployment, AWS Cdk, Data Logging, Retrieval-Augmented Generation, System Availability, Delivery Pipeline, Large Language Models, Model Validation, Boto3, Vector Embeddings, AgentCore, Generative AI, Amazon Virtual Private Cloud (VPC), Agentic-AI, Cloudformation, Usage Tracking, Pgvector, AI Platforms, Infrastructure Automation Frameworks, Amazon Bedrock, Integration Frameworks, Functional Programming, Cloudwatch, Api Gateway, Restful APIs, Terraform, Amazon OpenSearch, Api Management, Jenkins
- **Published:** October 22, 2026
- **Apply:** https://www.dice.com/job-detail/bdaae631-eb72-47b9-939e-a3c71e89ff50

## About the Role

We are seeking an experienced AWS Bedrock Platform Engineer to design, build, deploy, and operate secure, scalable, and production-ready Generative AI platforms using Amazon Bedrock and AWS cloud services. The ideal candidate will have strong hands-on experience with Bedrock, foundation model integration, RAG architectures, AI agents, platform automation, and enterprise security., * AWS Bedrock: Foundation models, Knowledge Bases, Agents, AgentCore, Guardrails, inference APIs.

 * Programming: Python, Boto3, REST APIs, AWS SDKs.
 * GenAI Frameworks: LangChain, LangGraph, Strands Agents, or similar frameworks.
 * RAG & Vector Databases: Amazon OpenSearch, pgvector, vector embeddings, semantic search.
 * AWS Services: Lambda, API Gateway, S3, IAM, KMS, CloudWatch, Step Functions, ECS/EKS.
 * Infrastructure as Code: Terraform or AWS CDK.
 * DevOps: CI/CD, GitHub Actions, Jenkins, or AWS CodePipeline.
 * Security: IAM policies, encryption, network isolation, guardrails, and enterprise AI governance.
 * Observability: Model latency, token consumption, inference costs, tracing, and application monitoring.

## Description

* Design, deploy, and manage enterprise Generative AI platforms using Amazon Bedrock.
 * Configure and manage foundation models, model access, inference profiles, and API integrations.
 * Build and operationalize RAG pipelines using Bedrock Knowledge Bases, Amazon OpenSearch, and vector databases.
 * Implement and manage Bedrock Agents, AgentCore, Guardrails, and model evaluation frameworks.
 * Develop reusable GenAI platform components, APIs, SDKs, and integration frameworks.
 * Implement secure multi-account and multi-tenant AI platform architectures.
 * Automate infrastructure provisioning and deployments using Terraform, CloudFormation, and CI/CD pipelines.
 * Implement AI security and governance, including IAM, KMS, VPC endpoints, data protection, and model access controls.
 * Establish monitoring, logging, token usage tracking, cost optimization, and performance management.
 * Support production deployments, troubleshooting, scalability, and platform reliability.