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AWS Bedrock Platform Engineer

ALTCloudAI, Inc.

Remote • 2d ago

Easy Apply

Contract

Depends on Experience

Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova

AstraZeneca

Gaithersburg, Maryland • Today

Full-time

USD 145,000.00 - 185,000.00 per year

AWS Lead Platform Engineer

York Solutions, LLC

Remote or Hybrid • Today

Easy Apply

Contract

$60-$80

Software Engineer AWS Cloud/Generative AI Hybrid

Mindbank Consulting Group

Bethesda, Maryland • Today

Easy Apply

Contract

150000 - 155000

Senior Cloud Engineer - AWS

TechSur Solutions

Reston, Virginia • Today

Full-time

Depends on Experience

AWS Database Engineer

System One

McLean, Virginia • 9d ago

Easy Apply

Contract

Depends on Experience

AWS Software Engineer - HYBRID

Mindbank Consulting Group

Hybrid in Bethesda, Maryland • 15d ago

Easy Apply

Contract

130000 - 140000

AWS Cloud Engineer/ Architect--McLean, VA (Onsite)

Sage IT Inc

McLean, Virginia • Today

Easy Apply

Full-time, Contract, Third Party

AWS Cloud/AI Engineer

Mindbank Consulting Group

Hybrid in Bethesda, Maryland • 10d ago

Easy Apply

Full-time

140000 - 155000

Senior GIS/AWS Developer/Engineer (onsite)

System One

Washington, District of Columbia • 7d ago

Easy Apply

Contract

Depends on Experience

AWS Cloud Engineer

Smart Synergies

Hybrid in Bethesda, Maryland • 2d ago

Easy Apply

Full-time

Depends on Experience

AWS Cloud Engineer

Mindlance

McLean, Virginia • Yesterday

Easy Apply

Contract

$50 - $65

AWS EKS / Kubernetes Engineer

Techno Talent Inc.

McLean, Virginia • 8d ago

Easy Apply

Third Party, Contract

Depends on Experience

AWS Software Engineer / AWS

Mindbank Consulting Group

Hybrid in Bethesda, Maryland • 17d ago

Easy Apply

Full-time

135,000 - 145,000

AWS Cloud Engineer

Techno Talent Inc.

McLean, Virginia • 8d ago

Easy Apply

Contract

Depends on Experience

AWS Serverless Software Engineer

Quevera LLC

Herndon, Virginia • Today

Full-time

AWS/Azure Cloud Engineer

Unisys

Washington, District of Columbia • 2d ago

Easy Apply

Contract

60 - 65

Senior Software Engineer (NodeJS/Angular/AWS)

Eliassen Group

Rockville, Maryland • Today

Contract

AWS Cloud Engineer - Software Engineering - Top Secret Clearance

Deloitte

Washington, District of Columbia • 5d ago

Full-time

USD 88,600.00 - 147,600.00 per year

AWS Data Engineer

Newgen Software Technologies

Herndon, Virginia • Today

Full-time

Senior Software Engineer – Java / AWS

Techno Talent Inc.

Tysons, Virginia • 17d ago

Easy Apply

Contract, Third Party

Depends on Experience

AWS Senior Engineer

Koniag, Inc.

Washington, District of Columbia • Today

Full-time

USD 125,000.00 per year

AWS Cloud Engineer

General Dynamics

Rockville, Maryland • Today

Full-time

USD 124,093.00 - 135,700.00 per year

Cloud Platform Engineer

Credence Management Solutions

McLean, Virginia • Today

Full-time

Compensation information provided in the description

Senior DevOps CI/CD Engineer - AWS (DevSecOps Champion)

General Dynamics

Fairfax, Virginia • Today

Full-time

USD 144,500.00 - 195,500.00 per year

AWS Database Engineer

Navigant Consulting

McLean, Virginia • Today

Full-time

2027 Summer Intern, Cloud Engineer (AWS/Azure) (Reston, VA)

ICF Consulting Group, Inc.

Reston, Virginia • Today

Part-time

USD 27.00 per hour

Senior Consultant, Full Stack Software Engineer (Node.js/React/Typescript/AWS)

Infinitive

McLean, Virginia • Today

Full-time

USD 85,000.00 per year

AWS/Windows Cloud Engineer/Server Administrator, TS/SCI with Polygraph

General Dynamics

McLean, Virginia • Today

Full-time

USD 119,870.00 - 162,178.00 per year

AWS Infrastructure Engineer | Secret Clearance

Deloitte

Arlington, Virginia • 21d ago

Full-time

USD 131,000.00 - 218,300.00 per year

Job Details

Skills

Amazon Web Services
LangChain
Python
Generative Artificial Intelligence (AI)
bedrock
API
Terraform
rag

Summary

Role: AWS Bedrock Platform Engineer
Experience: 5–10 Years (3+ years in AWS Cloud, hands-on GenAI experience)
Location: Remote / Hybrid
Employment Type: Full-Time / Contract

Role Overview

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.

Key Responsibilities

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.

Required Skills

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: PTPUNWvvNgExn9v
Position Id: 9120356
Posted 2 days ago

Fitment

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Contact the job poster

Raja Yanagandula

Recruiter @ ALTCloudAI, Inc.

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Job Details

Skills

Amazon Web Services
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Python
Generative Artificial Intelligence (AI)
bedrock
API
Terraform
rag

Summary

Role: AWS Bedrock Platform Engineer
Experience: 5–10 Years (3+ years in AWS Cloud, hands-on GenAI experience)
Location: Remote / Hybrid
Employment Type: Full-Time / Contract

Role Overview

Key Responsibilities

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.

Required Skills

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.

Dice Id: PTPUNWvvNgExn9v
Position Id: 9120356
Posted 2 days ago

Fitment