Agentic AI Architect for MCP-Driven Workflows

Peraton

Herndon (VA)

On-site

USD 135,000 - 216,000

Full time

4 days ago

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Job summary

Peraton in the United States seeks an Agentic AI & MCP Specialist to architect, develop, and operationalize agentic systems powered by LLMs and MCP frameworks. You will build intelligent multi-step, tool-using agents that autonomously reason, plan, and execute complex workflows across a cloud-based analytics ecosystem.

This role requires a deeply skilled software engineer with hands-on MCP integrations, model-driven tool interfaces, and secure, scalable AI applications.

Qualifications

Strong software engineering background with production-grade apps.
Expertise in agentic AI systems: planning, tool-use, multi-step reasoning.
Hands-on MCP-based integrations and tool interfaces.
Translate ambiguous requirements into scalable AI solutions.
LLM development practices: fine-tuning, RAG, prompts, interaction models.
Strong Python and cloud-native experience; distributed compute.

Responsibilities

Architect, develop, and operationalize agentic systems with LLMs and MCP frameworks.
Design and implement agent orchestration, model-driven decision logic, and production-grade capabilities.
Lead design efforts, mentor developers, communicate AI architectures to stakeholders.

Skills

Software engineering

Agentic AI systems

MCP integrations

LLM development

Python

Cloud-native

Distributed compute

CI/CD

Git/GitHub

Education

BS/BA

MS/MA

PhD

Tools

Git/GitHub

CI/CD pipelines

Azure

AWS

GCP

Databricks

Snowflake

Job description

This role requires a deeply skilled software engineer with hands-on MCP integrations, model-driven tool interfaces, and secure, scalable AI applications.

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