Senior AI Agent Architect — Remote

MACHINE LEARNING TECHNOLOGIES LLC; Charlotte (NC); Remote; USD 78,000 - 112,000; Full time

Benefits offered by this job

Remote work possible

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Senior AI Agent Engineer in Charlotte, NC with remote flexibility. The role focuses on designing and deploying production-grade AI agents across the full lifecycle, with emphasis on orchestration, governance, and secure deployment.

You will integrate agent systems with MCP, Temporal, and enterprise data stores. Qualified candidates have 7+ years in software, 1–2+ years with AI agents, and strong experience with Python/Java, CI/CD, and knowledge

Qualifications

• 7+ years in software engineering or enterprise-grade solutions.
• 1–2+ years building LLM-based applications/AI agents.
• 3+ years production software with Python/Java.
• 1+ year in AI agent orchestration and MCP/tool calling.
• 1+ year with agent platforms (AWS Agent Core, Kiro).
• 1+ year with Temporal or similar engines.
• 2+ years automating code-change workflows and test generation.
• 1+ year applying context engineering to AI workflows.
• 2+ years with Kafka, MongoDB, SQL, or SQLite.
• 1+ year with Neo4j/Cypher and knowledge graphs.
• 3+ years integrating apps with CI/CD and enterprise tools.
• 2+ years implementing secure software practices and audit trails.
• 1+ year implementing AI governance and guardrails.
• 3+ years SDLC, automated testing, release processes.

Responsibilities

• Design, build, and harden production-grade AI agents across the lifecycle: detect → store → plan → remediate → deploy.
• Develop and orchestrate Finder, Planner, and Executor agents for issue prioritization and controlled deployments.
• Integrate agents with MCP, tool calling, and agent frameworks; use Temporal/workflows.
• Connect agents to Overwatch, UVM vulnerability sources, and enterprise knowledge graphs.
• Implement event processing and data storage with Kafka, MongoDB, SQL/SQLite; query Neo4j/Cypher.
• Enable automated code-change workflows, AI-assisted code generation, and lockdown-test practices.
• Embed governance controls, human approvals, and security in agent design and deployment.
• Collaborate with cross-functional teams; provide technical guidance and documentation.

Skills

LLM-based apps

Python/Java

GitLab CI/CD

AI governance

Agent orchestration

Temporal workflows

Data stores

Knowledge graphs

Education

Bachelor's degree in CS or related field

Tools

Temporal

Kafka

MongoDB

SQL/SQLite

Neo4j/Cypher

GitLab

Job description

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Senior AI Agent Engineer in Charlotte, NC with remote flexibility. The role focuses on designing and deploying production-grade AI agents across the full lifecycle, with emphasis on orchestration, governance, and secure deployment.

You will integrate agent systems with MCP, Temporal, and enterprise data stores. Qualified candidates have 7+ years in software, 1–2+ years with AI agents, and strong experience with Python/Java, CI/CD, and knowledge