RAG Systems Engineer - Secure Cloud AI Workflows

Booz Allen; Annapolis (MD); Hybrid; USD 69,000 - 158,000; Full time

Job summary

Booz Allen Hamilton in Annapolis, MD is hiring a RAG Application Engineer to design and maintain the end-to-end runtime logic that powers retrieval-augmented systems. You will implement embedding generation, hybrid retrieval, reranking, and secure, scalable API workflows in a cloud-based environment.

You will containerize services, integrate with Cloud, Security, Data, and Site Reliability teams, and build robust retry, timeout, and error-handling strategies to ensure grounded, high-quality

Qualifications

• Experience building back-end or platform services using Python or Java.
• Experience designing or integrating RAG workflows, including embeddings, hybrid retrieval, vector search, and reranking.
• Experience implementing API request pipelines, orchestration logic, and service routing for AI model and search calls.
• Experience enforcing authentication and authorization within service logic.
• Experience developing resilient services with retry, backoff, timeout, and error-handling strategies and collaborating with data, search, cloud, and security engineers to optimize retrieval behavior.
• Experience containerizing applications using Docker and deploying to ECS, EKS, or Kubernetes.
• Experience building telemetry, including structured logs, metrics, and traces.
• Ability to translate RAG requirements into clean, maintainable application logic.
• TS/SCI clearance with a polygraph
• HS diploma or GED

Skills

Python

Java

RAG workflows

API orchestration

Authentication & Authorization

Retry & Timeout strategies

Telemetry & Observability

Docker

ECS/EKS/Kubernetes

Communication skills

Education

HS diploma or GED

Tools

Docker

ECS

EKS

Kubernetes

Terraform

CloudFormation

AWS CDK

Job description

Booz Allen Hamilton in Annapolis, MD is hiring a RAG Application Engineer to design and maintain the end-to-end runtime logic that powers retrieval-augmented systems. You will implement embedding generation, hybrid retrieval, reranking, and secure, scalable API workflows in a cloud-based environment.

You will containerize services, integrate with Cloud, Security, Data, and Site Reliability teams, and build robust retry, timeout, and error-handling strategies to ensure grounded, high-quality