Agentic AI Engineer

Agentic AI Engineer

The Opportunity:

AI is moving quickly, but the real value comes from turning emerging capabilities into secure, reliable solutions that people can use. As an Agentic AI Engineer, you’ll help design and build AI agents and applications that support mission and enterprise workflows, connect users to trusted data, and improve how organizations make decisions. In this role, you’ll work across AI engineering, software development, data integration, and cloud technologies.

You’ll help move capabilities from early prototypes to production by designing agent workflows, integrating tools and data, and building applications that are practical, maintainable, and secure. You’ll collaborate with engineers, data specialists, security professionals, and mission stakeholders to understand real needs and translate them into useful technical solutions. If you’re excited about applying AI to meaningful problems and helping shape what comes next.

The world can’t wait.

Design, develop, test, deploy, and support production‑grade AI agents and AI‑enabled applications. Build agent architectures that incorporate 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 that connect 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.

• 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, and RESTful API development, and using 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

• 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
• 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
• Clearance:
  Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI…