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AI Engineer – Technical Manager
Booz Allen Hamilton. Lead the technical design, development, testing, deployment, and sustainment of AI agents and AI-enabled applications .
Posted 9/23/2026full-timeReston • Virginia • United StatesSeniorLead💰 $112,800 - $257,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in leading the design, development, and deployment of AI agents and applications, with a strong focus on integrating mission data and utilizing advanced technologies such as large language models and geospatial intelligence. Proven ability to mentor teams, establish engineering practices, and deliver impactful outcomes in regulated environments.
Highest-signal resume keywords
AI Agent DevelopmentNode.js Application DevelopmentGeospatial Intelligence IntegrationLarge Language Model IntegrationActive TS/SCI Clearance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLRRESTful API DevelopmentMachine-Learning FrameworksAutoMLOracle DatabaseOracle APEXOracle SpatialOracle AI Database 26ai
Soft Skills
MentoringTechnical LeadershipStakeholder Coordination
Tools & Technologies
OpenAI CodexOCI
Certifications & Qualifications
Active TS/SCI Clearance
Industry Keywords
AI/ML EngineeringGeospatial DataProduction-Grade ApplicationsRegulated EnvironmentsMission Environments
Tech Stack
Tools & technologiesCloudJavaScriptNode.jsOraclePythonSQLTypeScript
About the role
Key responsibilities & impact- Lead the technical design, development, testing, deployment, and sustainment of AI agents and AI-enabled applications
- Define agent architectures incorporating orchestration, tool use, state management, error handling, evaluation, observability, and operational support
- Lead integration of mission and enterprise data with large language models using RAG, MCP, secure tool access, prompt management, and context engineering
- Guide development of Node.js applications, dashboards, and user interfaces that securely consume Oracle Database data
- Oversee integration of geospatial intelligence data, including raster and vector data, spatial context, metadata, and analytic results
- Establish engineering practices and review technical products
- Mentor developers and promote consistent approaches across the team
- Coordinate technical delivery across mission, data, cloud, security, database, and customer stakeholders
- Provide hands-on technical leadership across AI agents, applications, data integration, and cloud technologies
- Help establish architecture direction and coordinate stakeholders
- Keep delivery focused on meaningful outcomes
Requirements
What you’ll need- 10+ 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
- Experience leading technical designs and delivery for agentic AI capabilities, including orchestration, tool use, state management, evaluation, observability, 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, and RESTful API development
- Experience using machine-learning frameworks, AutoML, or notebook-based workflows
- Experience developing Node.js applications connected to Oracle Database
- Experience mentoring developers and coordinating delivery
- Experience using AI-assisted development tools such as OpenAI Codex
- Active TS/SCI clearance
- Willingness to take a polygraph exam
- Bachelor’s degree
- Experience with Oracle AI Database Agent Factory or comparable agent-development frameworks
- Experience with Oracle Spatial and Spatial Studio, including spatial analytics and visualization workflows
- Experience with Oracle APEX for rapidly developing data-centric applications and dashboards
- Experience operating AI applications in regulated, classified, or mission environments
- Experience leading customer-facing technical teams or multidisciplinary engineering efforts
- Knowledge of Oracle AI Database 26ai, including vector data types and AI-enabled database capabilities
- Knowledge of OCI, including secure deployment, networking, identity, observability, and managed data services
- Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information
- TS/SCI clearance is required
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 process using advanced biometrics and artificial intelligence
- Camera-on expectation during interviews and assessments
- Total compensation package