AI Engineer

Booz Allen Hamilton

. Design, develop, test, deploy, and support production-grade AI agents and AI-enabled applications .

Posted 9/24/2026full-timeReston • Virginia • United StatesSeniorLead💰 $99,000 - $225,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying production-grade AI agents and applications, integrating large language models with enterprise data, and utilizing geospatial intelligence data. Proficient in Python, SQL, R, and Node.js for developing secure, maintainable solutions in collaboration with diverse stakeholders.

Highest-signal resume keywords

AI Agent DevelopmentGeospatial Intelligence Data IntegrationPython ProgrammingNode.js Application DevelopmentActive TS/SCI Clearance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLRRESTful API DevelopmentMachine-Learning FrameworksAutoMLNode.jsOracle DatabaseAI Agent ArchitectureError Handling

Soft Skills

CollaborationCommunicationTroubleshootingTestingCode Review

Tools & Technologies

OpenAI CodexRAGMCPObservability ToolsData Access Tools

Certifications & Qualifications

Bachelor’s DegreeActive TS/SCI Clearance

Industry Keywords

AI/ML EngineeringProduction-Grade ApplicationsGeospatial DataSpatial ContextMetadata

Tech Stack

Tools & technologies

JavaScriptNode.jsOraclePythonSQLTypeScript

About the role

Key responsibilities & impact

Design, develop, test, deploy, and support production-grade AI agents and AI-enabled applications
Build agent architectures incorporating orchestration, tool use, state management, error handling, evaluation, observability, and operational support
Integrate mission and enterprise data with large language models using RAG, MCP, secure tool access, prompt management, and context engineering
Incorporate geospatial intelligence data, including raster and vector data, spatial context, metadata, and analytic results, into applications and user workflows
Develop Python, SQL, R, and RESTful services connecting AI capabilities with enterprise data platforms
Develop Node.js applications, dashboards, and user interfaces that securely consume Oracle Database data
Collaborate with technical and mission stakeholders to translate requirements into secure, maintainable, and usable AI-enabled solutions
Move AI capabilities from early prototypes to production
Collaborate with engineers, data specialists, security professionals, and mission stakeholders

Requirements

What you’ll need

8+ years of experience in software engineering, application development, or AI/ML engineering
Experience designing, building, and deploying production-grade AI agents or AI-enabled applications, including orchestration, tool use, state management, error handling, evaluation, and operational support
Experience integrating mission or enterprise data with large language models using RAG and MCP
Experience working with geospatial intelligence data, including raster and vector data types, metadata, spatial context, and analytic results
Experience with Python, SQL, R, RESTful API development, and machine-learning frameworks, AutoML, or notebook-based workflows
Experience developing Node.js applications or dashboards connected to Oracle Database and collaborating with database engineers on data access and performance
Experience using OpenAI Codex or comparable AI-assisted development tools, with communication, troubleshooting, testing, code-review, and security practices
Active TS/SCI clearance
Willingness to take a polygraph exam
Bachelor’s degree

Benefits

Comp & perks

Health benefits
Life insurance
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program for exceptional performance and superior demonstration of values
Identity verification and interview/assessment participation requirements