Booz Allen Hamilton
Posted 3 days agoVerified live 11h ago
AI Engineer
Brief overview
Remote
UndergradOr in progress
$99k–$225k/yrStated range
3+ yrsMinimum
Clearance requiredU.S. government
Generative AI Application DevelopmentLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)Vector StoresFastAPIFlaskNode.jsAWSAzureLangGraphStrandsOpenTelemetryDatadogCI/CD
Job description
Summary
Booz Allen Hamilton is seeking an AI Engineer to develop and operate production-grade artificial intelligence systems. The role owns the full lifecycle of agentic applications and machine learning solutions, including data pipelines, model development, evaluation, observability, deployment, and performance optimization.
Responsibilities
- Design, build, and operate production-grade AI systems at scale to own the full lifecycle of agentic applications and ML solutions, from data pipelines and model development to evaluation, observability, and performance optimization
- Building and deploying applications like multi-agent systems in cloud environments
- Ensure systems are observable and performant, implementing tracing, metrics, and optimizing latency, caching, and retrieval, while designing and evaluating RAG pipelines, applying traditional ML where appropriate, and using AI-assisted coding tools to accelerate delivery
Skills
- 3+ years of experience building production systems and applications, including AI/ML applications
- 2+ years of experience developing Generative AI applications using LLMs, RAG frameworks, and vector stores
- Experience designing and building APIs and services with FastAPI, Flask, or Node.js
- Experience working in cloud-native environments like AWS and Azure and developing scalable solutions with cloud services like Bedrock/AI Foundry, SageMaker/AI Studio, EKS/ECS, S3, IAM, CloudWatch
- Experience with agent orchestration frameworks, such as LangGraph and Strands, and tool or function calling patterns
- Experience implementing observability such as OpenTelemetry, Datadog, or CloudWatch and performance metrics pipelines with dashboards
- Experience using AI-assisted coding tools such as Copilot, Codex, and Claude Code for complex development tasks
- Experience deploying models, agents, or applications via CI/CD
- Ability to obtain a Secret clearance
- Bachelor's degree in CS, Engineering, or STEM field
- Experience supporting DoW clients or other federal mission environments
- Experience with advanced agentic patterns including prompt caching, guardrails, agentic memory, Model Context Protocol (MCP), and agentic deployment strategies
- Experience with end-to-end chatbot or agent to agent (A2A) development
- Experience with enterprise data and ML platforms such as Databricks or Snowflake
- Experience in creating and managing large data processing pipelines
- Master's degree
Qualifications
Must Haves
- 3+ years of experience building production systems and applications, including AI/ML applications
- 2+ years of experience developing Generative AI applications using LLMs, RAG frameworks, and vector stores
- Experience designing and building APIs and services with FastAPI, Flask, or Node.js
- Experience working in cloud-native environments like AWS and Azure and developing scalable solutions with cloud services like Bedrock/AI Foundry, SageMaker/AI Studio, EKS/ECS, S3, IAM, CloudWatch
- Experience with agent orchestration frameworks, such as LangGraph and Strands, and tool or function calling patterns
- Experience implementing observability such as OpenTelemetry, Datadog, or CloudWatch and performance metrics pipelines with dashboards
- Experience using AI-assisted coding tools such as Copilot, Codex, and Claude Code for complex development tasks
- Experience deploying models, agents, or applications via CI/CD
- Ability to obtain a Secret clearance
- Bachelor's degree in CS, Engineering, or STEM field
Nice to Haves
- Experience supporting DoW clients or other federal mission environments
- Experience with advanced agentic patterns including prompt caching, guardrails, agentic memory, Model Context Protocol (MCP), and agentic deployment strategies
- Experience with end-to-end chatbot or agent to agent (A2A) development
- Experience with enterprise data and ML platforms such as Databricks or Snowflake
- Experience in creating and managing large data processing pipelines
- Master's degree
Benefits
- Health, life, disability, financial, and retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program for exceptional performance and superior demonstration of our values
- Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs
- Remote work arrangements, with occasional in-person work at a Booz Allen or customer facility when required
- Hybrid work arrangements, with frequent work at a Booz Allen facility and possible work at or visits to a customer facility