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About the Role
We're looking for an AI Engineer to design, build, and operate production-grade AI systems at scale, owning the full lifecycle of agentic applications and ML solutions from data pipelines and model development to evaluation, observability, and performance optimization. You will own production AI/ML solutions end-to-end by building and deploying applications like multi-agent systems in cloud environments, ensuring 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.
Responsibilities
- Design, build, and operate production-grade AI systems at scale
- Own the full lifecycle of agentic applications and ML solutions
- Build and deploy applications like multi-agent systems in cloud environments
- Ensure systems are observable and performant
- Implement tracing, metrics, and optimize latency, caching, and retrieval
- Design and evaluate RAG pipelines
- Apply traditional ML where appropriate
- Use AI-assisted coding tools to accelerate delivery
Requirements
- 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
- Experience 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
Skills
- Generative AI
- LLMs
- RAG frameworks
- Vector stores
- FastAPI
- Flask
- Node.js
- AWS
- Azure
- Bedrock/AI Foundry
- SageMaker/AI Studio
- EKS/ECS
- S3
- IAM
- CloudWatch
- LangGraph
- Strands
- OpenTelemetry
- Datadog
- Copilot
- Codex
- Claude Code
Location
- Remote
- Hybrid
- Onsite
Work Type
- Full-time
- Part-time
Experience Level
- 3+ years of experience building production systems and applications
- 2+ years of experience developing Generative AI applications
Education Level
- Bachelor's degree in CS, Engineering, or STEM field
- Master's degree
Salary/Compensations
- $99,000.00 to $225,000.00
Benefits
- Health benefits
- Life benefits
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
About the Company
- At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being.
- We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Equal Opportunity
- All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.