Senior AI Architect — Secure, Onsite, TS/SCI

Resource Management Concepts, Inc.; South Carolina; On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Paid vacation

11 federal holidays

Health insurance

Pet insurance

401K

Job summary

Resource Management Concepts, Inc. is seeking an AI Engineer to design and deploy secure AI systems that connect foundation models with enterprise data and services, building agent architectures, retrieval capabilities, and stateful workflows with strict permissions and controlled execution.

The role requires hands-on experience with autonomous agents, distributed systems, and production security practices, and is onsite at a Government facility in Charleston, SC.

Qualifications

• : Bachelor's degree in Cybersecurity, Computer/Electrical/Electronics Engineering, or Mathematics with a computer science concentration, or equivalent.
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Responsibilities

• Architect modular, interoperable agent ecosystems using MCP for connections between foundation models, tools, and data services.
• Engineer advanced retrieval systems including GraphRAG, Agentic Routing, and CRAG with memory architectures for long-lived sessions.
• Enforce strict data permissions via ACLs/RBAC/ABAC, map schemas to access controls, and ensure per-user data access.
• Build resilient execution harnesses with idempotent retries, budget controls, deterministic exits, and HITL gates for high-consequence actions.

Skills

Distributed systems

Security governance

Observability

HITL (Human in the Loop)

RBAC/ABAC

Autonomous agents

Multi-language programming (Python/TS/

Education

Bachelor's degree in Cybersecurity/Engineering/Math with CS concentration

Master’s degree in Cybersecurity or related field

Tools

MCP servers/clients

LangGraph

CrewAI

Claude Agent SDK

GraphRAG

OpenTelemetry

LangSmith

Arize Phoenix

Job description

Resource Management Concepts, Inc. is seeking an AI Engineer to design and deploy secure AI systems that connect foundation models with enterprise data and services, building agent architectures, retrieval capabilities, and stateful workflows with strict permissions and controlled execution.

The role requires hands-on experience with autonomous agents, distributed systems, and production security practices, and is onsite at a Government facility in Charleston, SC.