Oracle
Oracle Consulting Technical Manager, Agentic AI Developer - GDI
- Compensation
- Not disclosed
- Location
- Reston, VA, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 10+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- The ability to obtain and maintain a TS/SCI security clearance with a polygraph.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline.
- At least 10 years of relevant experience designing and implementing enterprise-scale software or data systems.
- Demonstrated experience designing, building, deploying, and supporting production-grade AI agents or AI-enabled applications, including agent orchestration, tool use, state management, error handling,
- Hands-on experience developing RAG solutions, including data preparation, retrieval design, grounding, and prompt and context management.
- Experience implementing MCP integrations to provide AI applications with controlled access to enterprise tools and data.
- Experience working with geospatial intelligence data, including raster and vector data, spatial metadata, and analytic results.
- Proficiency in Python, SQL, and R, with experience designing, developing, testing, documenting, and troubleshooting RESTful APIs and data services.
- Experience using machine-learning frameworks, AutoML capabilities, and notebook-based workflows to prototype, train, evaluate, and operationalize analytic or AI solutions.
- Experience developing Node.js applications and web-based dashboards or user interfaces that integrate with Oracle Database.
- Experience developing against Oracle Database and collaborating with database engineers to optimize schemas, queries, data access, and application interfaces.
- Experience using OpenAI Codex or comparable AI-assisted development tools within approved environments while maintaining code quality, testing, review, and security practices.
- Experience developing or deploying solutions on Oracle Cloud Infrastructure (OCI), AWS, Azure, or Google Cloud.
- Strong communication, problem-solving, and collaboration skills, including the ability to translate mission requirements into actionable technical designs.
Nice to have
- Experience supporting IC or other federal mission systems.
- Working knowledge of Oracle AI Database, including vector data types and Oracle AI Vector Search.
- Experience with agent-development platforms and frameworks, such as Oracle AI Database Private Agent Factory.
- Experience with geospatial data analysis and visualization.
- Experience developing data-centric applications and dashboards.
- Experience deploying and operating cloud-based solutions, including networking, identity and access management, observability, and managed data services.
- Experience operating AI applications in classified, regulated, or mission environments with security, auditability, and data-governance requirements.
- Experience implementing safeguards against prompt injection, unauthorized tool use, and sensitive-data exposure.
- Relevant Oracle certifications, including OCI architecture certifications.
Full description
We are seeking a highly experienced and motivated Agentic AI Developer to join our team. In this hands-on technical role, you will design, develop, and optimize AI agents to automate and enable critical IC/DoW mission functions. You will work with customer stakeholders, architects, data scientists, and database administrators to translate complex requirements into secure, reliable, and high-performing solutions. This role demands technical expertise, strategic thinking, and hands-on experience with Oracle-based systems in high-volume environments. If you thrive in a fast-paced, data-driven organization and enjoy solving complex AI/ML engineering challenges, we want to hear from you. The position requires the ability to obtain and maintain a TS/SCI security clearance with Polygraph.
Required Skills:
- The ability to obtain and maintain a TS/SCI security clearance with a polygraph.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline.
- At least 10 years of relevant experience designing and implementing enterprise-scale software or data systems.
- Demonstrated experience designing, building, deploying, and supporting production-grade AI agents or AI-enabled applications, including agent orchestration, tool use, state management, error handling, and evaluation.
- Hands-on experience developing RAG solutions, including data preparation, retrieval design, grounding, and prompt and context management.
- Experience implementing MCP integrations to provide AI applications with controlled access to enterprise tools and data.
- Experience working with geospatial intelligence data, including raster and vector data, spatial metadata, and analytic results.
- Proficiency in Python, SQL, and R, with experience designing, developing, testing, documenting, and troubleshooting RESTful APIs and data services.
- Experience using machine-learning frameworks, AutoML capabilities, and notebook-based workflows to prototype, train, evaluate, and operationalize analytic or AI solutions.
- Experience developing Node.js applications and web-based dashboards or user interfaces that integrate with Oracle Database.
- Experience developing against Oracle Database and collaborating with database engineers to optimize schemas, queries, data access, and application interfaces.
- Experience using OpenAI Codex or comparable AI-assisted development tools within approved environments while maintaining code quality, testing, review, and security practices.
- Experience developing or deploying solutions on Oracle Cloud Infrastructure (OCI), AWS, Azure, or Google Cloud.
- Strong communication, problem-solving, and collaboration skills, including the ability to translate mission requirements into actionable technical designs.