AI Engineer – Agentic Orchestration (Senior) at JFL Consulting, LLC. Place of Performance: DC-Metro Area Preferred. Citizenship: U.S. Citizenship required. Clearance: Active Secret clearance. Experience: 8+ years of professional back-end or API integration engineering. Education: Bachelor’s degree in Computer Science or related engineering field; or equivalent relevant experience. This role supports a pilot program re-platforming capabilities onto an enterprise AI platform to deliver predictive, decision-grade capabilities. Primary responsibilities include architecting, building, and maintaining production API integrations and data-pipeline components that move data from disparate sources into the platform’s Common Operating Picture (COP), and orchestrating agentic AI workflows. The engineer will implement and version robust interface contracts (REST/GraphQL, OpenAPI specifications), build high-throughput pipelines (e.g., Apache Kafka), integrate data products, ontologies, and pipelines within the platform environment (e.g., Palantir Foundry) and cloud-hosted services in AWS GovCloud, and implement enterprise authentication patterns (OAuth 2.0 / OIDC, SAML, PKI/CAC, RBAC/ABAC).

Agentic Orchestration & AI Workflows: Design and implement agentic AI workflows that chain models, tools, and data services to move data from after-the-fact reporting toward predictive, decision-grade warnings. Build and maintain the orchestration layer (tool/function calling, prompt and workflow versioning, guardrails, retrieval, and evaluation harnesses) that exposes COP data to agents safely and

AI Engineer – Agentic Orchestration (Senior) at JFL Consulting, LLC. Place of Performance: DC-Metro Area Preferred. Citizenship: U.S. Citizenship required. Clearance: Active Secret clearance. Experience: 8+ years of professional back-end or API integration engineering. Education: Bachelor’s degree in Computer Science or related engineering field; or equivalent relevant experience. This role supports a pilot program re-platforming capabilities onto an enterprise AI platform to deliver predictive, decision-grade capabilities. Primary responsibilities include architecting, building, and maintaining production API integrations and data-pipeline components that move data from disparate sources into the platform’s Common Operating Picture (COP), and orchestrating agentic AI workflows. The engineer will implement and version robust interface contracts (REST/GraphQL, OpenAPI specifications), build high-throughput pipelines (e.g., Apache Kafka), integrate data products, ontologies, and pipelines within the platform environment (e.g., Palantir Foundry) and cloud-hosted services in AWS GovCloud, and implement enterprise authentication patterns (OAuth 2.0 / OIDC, SAML, PKI/CAC, RBAC/ABAC).

Agentic Orchestration & AI Workflows: Design and implement agentic AI workflows that chain models, tools, and data services to move data from after-the-fact reporting toward predictive, decision-grade warnings. Build and maintain the orchestration layer (tool/function calling, prompt and workflow versioning, guardrails, retrieval, and evaluation harnesses) that exposes COP data to agents safely and