Agentic AI Engineer & Technical Lead

Phase2 Technology

Springfield (VA)

On-site

USD 113,000 - 257,000

Full time

5 days ago

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Job summary

Booz Allen is seeking an Agentic AI Engineer & Technical Manager in Virginia to provide hands-on technical leadership across AI agents, applications, data integration, and cloud technologies. You will shape architecture, mentor developers, review work, and coordinate stakeholders to deliver meaningful outcomes.

You will guide Node.js apps connected to Oracle DB, work with geospatial data, and ensure secure, observable AI-enabled capabilities.

Qualifications

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, mentoring developers, coordinating delivery, and using AI-assisted development tools such as OpenAI Codex.
Active TS/SCI clearance; willingness to take a polygraph exam
Bachelor's degree

Responsibilities

Lead the technical design, development, testing, deployment, and sustainment of AI agents and AI-enabled applications.
Define agent architectures that incorporate orchestration, tool use, state management, error handling, evaluation, observability, and operational support.
Lead the integration of mission and enterprise data with large language models using RAG, MCP, secure tool access, prompt management, and context engineering.
Guide the development of Node.js applications, dashboards, and user interfaces that securely consume Oracle Database data.
Oversee the integration of geospatial intelligence data, including raster and vector data, spatial context, metadata, and analytic results.
Establish engineering practices, review technical products, mentor developers, and promote consistent approaches across the team.
Coordinate technical delivery across mission, data, cloud, security, database, and customer stakeholders.