AI/ML Automation Architect — Hybrid, VA

Node.Digital LLC; Herndon (VA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Basic Life

Health Savings Account

401K Matching

Three weeks PTO/Sick

11 Paid Holidays

Pre-Approved Online Training

Job summary

Node.Digital LLC is seeking an Intelligent Automation/AI-ML Engineer in Herndon, VA (Hybrid). The role focuses on designing and maintaining AI/ML-enabled automation using open-source models and MCP-based integrations. The candidate will own model usage, retraining, and efficient token management.

Responsibilities include building agents, ensuring reliability through MLOps, and collaborating with data engineers and security teams on governance and compliance for a federally-backed project.

Qualifications

• Bachelor's degree in CS/DS/Engineering or equivalent.
• Production experience deploying AI/ML solutions.
• Strong Python and ML/LLM framework experience (PyTorch, Transformers, LangChain).
• Hands-on with open-source LLMs, deployment, inference and fine-tuning.

Responsibilities

• Architect and build intelligent automation with AI/ML using open-source models.
• Develop MCP servers/clients connecting models to tools and workflows.
• Create repeatable intelligent solutions for document processing and data cleansing.
• Manage MLOps pipelines: versioning, CI/CD, testing, deployment, monitoring.

Skills

Python

AI/ML engineering

ML frameworks

Open-source models

MCP

RAG architectures

Troubleshooting

Education

Bachelor's degree

Tools

Docker

Kubernetes

MLflow

DVC

Job description

Node.Digital LLC is seeking an Intelligent Automation/AI-ML Engineer in Herndon, VA (Hybrid). The role focuses on designing and maintaining AI/ML-enabled automation using open-source models and MCP-based integrations. The candidate will own model usage, retraining, and efficient token management.

Responsibilities include building agents, ensuring reliability through MLOps, and collaborating with data engineers and security teams on governance and compliance for a federally-backed project.