Senior Artificial Intelligence Engineer
$99k - $225kBooz Allen Hamilton
Job Number: R0253017 Artificial Intelligence Engineer, Senior
The Opportunity: As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support national security. As a machine learning engineer on our national security team, you'll train, test, deploy, and maintain models that learn from data. In this role, you'll lead the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You'll share your knowledge with a talented team of machine learning engineers across the company and collaborate with the team to deliver world class solutions to build agent architectures, advanced retrieval capabilities, and stateful workflows that perform complex tasks while enforcing user permissions and maintaining reliable, controlled execution. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Join us. The world can't wait. You Have:
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
The Opportunity: As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support national security. As a machine learning engineer on our national security team, you'll train, test, deploy, and maintain models that learn from data. In this role, you'll lead the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You'll share your knowledge with a talented team of machine learning engineers across the company and collaborate with the team to deliver world class solutions to build agent architectures, advanced retrieval capabilities, and stateful workflows that perform complex tasks while enforcing user permissions and maintaining reliable, controlled execution. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Join us. The world can't wait. You Have:
- 5+ years of experience working in a professional environment
- Experience with production with Model Context Protocol (MCP) server or client implementations, LangGraph, CrewAI, and the Claude Agent SDK
- Experience deploying GraphRAG, including knowledge graphs and vector search, dynamic query routing, and self-correcting retrieval pipelines
- Experience with JSON Schema and Protocol Buffers/Protobuf
- Experience integrating identity and access management (IAM) tokens or claims into AI tool execution layers to enforce zero-trust, per-user data entitlements
- Experience with engineering, including building fault-tolerant distributed systems, including idempotency keys for external API/tool mutations, implementing early-exit stop conditions, automated budget enforcement, and asynchronous HITL state suspension or resumption
- Knowledge of context compression, state serialization, and session persistence
- Ability to design custom, non-standard cognitive architectures when off-the-shelf patterns fall short
- Active TS/SCI clearance; willingness to take a polygraph exam
- Bachelor's degree in Cybersecurity, Computer Engineering, Electrical Engineering, Electronics Engineering, Mathematics, or Computer Science
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
- Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
- Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
- Onsite : If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Vacancy posted 3 days ago
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