Agentic AI Engineer & Technical Manager

About the role

The Opportunity: AI capabilities are moving quickly from experimentation to operational use, and successful delivery requires more than strong technical ideas. It takes clear direction, thoughtful engineering, and a team that can turn complex requirements into reliable solutions. As an Agentic AI Engineer & Technical Manager, you’ll help lead that work from initial design through production delivery. In this role, you’ll provide hands-on technical leadership across AI agents, applications, data integration, and cloud technologies. You’ll help establish architecture direction, mentor developers, review technical work, coordinate stakeholders, and keep delivery focused on meaningful outcomes. You’ll work alongside engineers, data specialists, cloud and security professionals, and mission stakeholders to translate priorities into practical solutions. If you’re a hands-on technical leader who enjoys helping teams solve difficult problems and deliver capabilities that matter, we invite you to join us.

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.

Requirements

• 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