Bedrock Support Engineer

Fairfax, VA - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

AWS Bedrock Support Engineer
Location: Onsite Tysons Corner VA (5 days per week)
Visa Sponsorship: Provided (Must be eligible to work in the US)
Job Overview
We are seeking a Support Engineer to manage and scale our Amazon Bedrock infrastructure. This role is dedicated to the operational excellence of Foundation Models (FMs) focusing on the automation of model deployments optimization of RAG (Retrieval-Augmented Generation) pipelines and maintaining high-performance AI workflows. You will ensure that our Generative AI environment is secure cost-effective and seamlessly integrated into our CI/CD ecosystem.

Key Responsibilities
Amazon Bedrock Operations

Model Provisioning: Manage Amazon Bedrock model access and configure Provisioned Throughput to ensure consistent performance for production LLM workloads.
RAG Management: Maintain and optimize Knowledge Bases for Amazon Bedrock including the data ingestion pipelines and vector store integrations (e.g. OpenSearch Serverless).
Agent Orchestration: Support and troubleshoot Agents for Amazon Bedrock ensuring Lambda-based action groups and API integrations are functioning correctly.
Governance & Safety: Implement and monitor Guardrails for Amazon Bedrock to filter sensitive content and enforce responsible AI policies across all applications.

GenAI Infrastructure & Automation

AI-Specific IaC: Develop and maintain Terraform or AWS CDK modules specifically for Bedrock components IAM roles and associated data resources (S3 Lambda).
CI/CD for LLMs: Build automated pipelines for model testing evaluation (using Model Evaluation on Amazon Bedrock) and seamless promotion of AI-enabled features.
Private AI Networking: Configure and troubleshoot VPC Interface Endpoints (PrivateLink) for Bedrock to ensure AI data traffic remains within the private network.

Required Qualifications

Experience: Experience in DevOps or Cloud Engineering with a significant recent focus on AI/ML infrastructure support.
Bedrock Expertise: Hands-on experience configuring Amazon Bedrock (Knowledge Bases Agents and Guardrails).
DevOps Tools: Expert proficiency in Terraform Jenkins/GitLab CI and Python (Boto3).
AWS AI Services: Deep technical knowledge of supporting services including AWS Lambda Amazon OpenSearch and S3.
Security: Strong understanding of IAM granular permissions specifically for AI service access and data privacy.
Location: Ability to work onsite 5 days a week in McLean VA.

Preferred Qualifications

Azure OpenAI Services.

Required Experience:

Manager

AWS Bedrock Support EngineerLocation: Onsite Tysons Corner VA (5 days per week)Visa Sponsorship: Provided (Must be eligible to work in the US)Job OverviewWe are seeking a Support Engineer to manage and scale our Amazon Bedrock infrastructure. This role is dedicated to the operational excellence of ...

AWS Bedrock Support Engineer
Location: Onsite Tysons Corner VA (5 days per week)
Visa Sponsorship: Provided (Must be eligible to work in the US)
Job Overview
We are seeking a Support Engineer to manage and scale our Amazon Bedrock infrastructure. This role is dedicated to the operational excellence of Foundation Models (FMs) focusing on the automation of model deployments optimization of RAG (Retrieval-Augmented Generation) pipelines and maintaining high-performance AI workflows. You will ensure that our Generative AI environment is secure cost-effective and seamlessly integrated into our CI/CD ecosystem.

Key Responsibilities
Amazon Bedrock Operations

Model Provisioning: Manage Amazon Bedrock model access and configure Provisioned Throughput to ensure consistent performance for production LLM workloads.
RAG Management: Maintain and optimize Knowledge Bases for Amazon Bedrock including the data ingestion pipelines and vector store integrations (e.g. OpenSearch Serverless).
Agent Orchestration: Support and troubleshoot Agents for Amazon Bedrock ensuring Lambda-based action groups and API integrations are functioning correctly.
Governance & Safety: Implement and monitor Guardrails for Amazon Bedrock to filter sensitive content and enforce responsible AI policies across all applications.

GenAI Infrastructure & Automation

AI-Specific IaC: Develop and maintain Terraform or AWS CDK modules specifically for Bedrock components IAM roles and associated data resources (S3 Lambda).
CI/CD for LLMs: Build automated pipelines for model testing evaluation (using Model Evaluation on Amazon Bedrock) and seamless promotion of AI-enabled features.
Private AI Networking: Configure and troubleshoot VPC Interface Endpoints (PrivateLink) for Bedrock to ensure AI data traffic remains within the private network.

Required Qualifications

Experience: Experience in DevOps or Cloud Engineering with a significant recent focus on AI/ML infrastructure support.
Bedrock Expertise: Hands-on experience configuring Amazon Bedrock (Knowledge Bases Agents and Guardrails).
DevOps Tools: Expert proficiency in Terraform Jenkins/GitLab CI and Python (Boto3).
AWS AI Services: Deep technical knowledge of supporting services including AWS Lambda Amazon OpenSearch and S3.
Security: Strong understanding of IAM granular permissions specifically for AI service access and data privacy.
Location: Ability to work onsite 5 days a week in McLean VA.

Preferred Qualifications

Azure OpenAI Services.

Required Experience:

Manager

Key Skills

Ruby
Mac Os
Computer Networking
Windows
TCP
Customer Support
Linux
Shell Scripting
VPN
Dns
Technical Support
Troubleshooting

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