Artificial Intelligence Engineer

DAn Solutions; Washington (District of Columbia); On-site; USD 140,000 - 200,000; Full time

Job summary

DAn Solutions is seeking an experienced Artificial Intelligence Engineer to design, develop, and deploy secure AI systems that integrate foundation models with enterprise tools, data sources, and mission services for government facilities.

The ideal candidate will have hands-on experience building production-grade agentic AI architectures, advanced retrieval systems, and stateful orchestration workflows within secure environments, with a TS/SCI clearance and on-site work in Charleston, SC or the

Qualifications

• Active TS/SCI clearance with the ability to obtain a CI Polygraph.
• Bachelor's degree in a technical discipline or equivalent.
• 5+ years of relevant professional experience.
• Hands-on production experience with MCP server/client implementations and agent orchestration frameworks.

Responsibilities

• Design secure, modular agentic AI architectures.
• Integrate foundation models with enterprise tools using MCP.
• Develop stateful agent workflows with LangGraph, CrewAI, Claude Agent SDK.
• Build advanced retrieval systems with GraphRAG and dynamic routing.
• Implement IAM tokens, claims, and access controls in AI systems.
• Ensure reliable deployment and operation of secure AI systems.

Skills

Security clearance

Distributed systems

Python

TypeScript

Go

Agent orchestration

Education

Bachelors in cybersecurity

Tools

MCP server

LangGraph

CrewAI

Claude Agent SDK

GraphRAG

Job description

REQUIRES AN ACTIVE/EXISTING TS/SCI WITH CI POLYGRAPH

Location: Charleston, SC or National Capital Region

Position Overview

DAn Solutions is seeking an experienced Artificial Intelligence Engineer to design, develop, and deploy secure AI systems integrating foundation models with enterprise tools, data sources, and mission services.

The ideal candidate will have hands-on experience developing production-grade agentic AI architectures, advanced retrieval systems, and stateful orchestration workflows within secure enterprise environments.

This position requires a strong understanding of AI engineering, distributed systems, identity-based access controls, and operational reliability.

Key Responsibilities

• Design and implement secure, modular agentic AI architectures.
• Integrate foundation models with enterprise tools and services using the Model Context Protocol (MCP).
• Develop stateful agent workflows using LangGraph, CrewAI, Claude Agent SDK, or comparable frameworks.
• Build advanced retrieval systems using GraphRAG, agentic routing, and Corrective RAG.
• Develop context management, memory, and session persistence architectures.
• Implement access controls that enforce user permissions and enterprise security requirements.
• Integrate JSON Schema, Protocol Buffers, and identity-based authorization into AI tool execution.
• Develop runtime safeguards to prevent runaway agent execution and cascading failures.
• Implement retry logic, token and cost controls, and deterministic termination conditions.
• Design Human-in-the-Loop approval workflows for sensitive or high-consequence actions.
• Support reliable deployment and operation of secure AI systems.

Required Qualifications

• Active TS/SCI clearance with the ability to obtain a CI Polygraph.
• Bachelor's degree in Cybersecurity, Computer Engineering, Electrical Engineering, Mathematics, or a related technical discipline, or equivalent qualifications.
• At least 5 years of relevant professional experience.
• Hands-on production experience with MCP server/client implementations and agent orchestration frameworks.
• Experience with LangGraph, CrewAI, and Claude Agent SDK.
• Demonstrated experience developing GraphRAG, dynamic query routing, and advanced retrieval pipelines.
• Strong understanding of context compression, state management, and session persistence.
• Experience using JSON Schema and Protocol Buffers.
• Experience integrating IAM tokens, claims, and access controls into AI systems.
• Experience designing reliable distributed systems with retry controls, execution limits, and recovery mechanisms.
• Experience implementing Human-in-the-Loop approval and execution workflows.
• Ability to work full-time on-site at a government facility.

Preferred Qualifications

• Master's degree in a related technical discipline.
• Experience evaluating agent behavior and implementing observability tools such as OpenTelemetry, LangSmith, or Arize Phoenix.
• Experience with automated red-teaming and security testing for AI systems.
• Background deploying AI systems in highly regulated or mission-critical environments.
• Strong Python, TypeScript, or Go programming skills.
• Experience developing high-performance MCP servers and custom orchestration runtimes.

Work Location

Full-time, on-site support at a government facility in Charleston, SC or the National Capital Region.

Salary Range Disclaimer:The posted salary range represents the good-faith minimum and maximum compensation DAn Solutions expects to pay for this position. The position may be filled at different Labor Category (LCAT) levels depending on the selected candidate's qualifications and applicable contract requirements. Final compensation within the posted range will be determined based on the applicable LCAT and factors including education, relevant experience, certifications, and other required qualifications