Principal AI/ML Engineer — Enterprise AI Leader

Common App; Arlington (VA); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Common App seeks a Principal AI & ML Engineer to lead production‑grade AI initiatives within the Data Analytics & Research division. You will embed AI into enterprise workflows, drive measurable gains in productivity, and mentor teams with strong technical authority.

Collaboration with Data Engineering and Governance is essential. Ideal candidates bring 8–10 years in ML/AI with LLM experience, deep Python/R skills, and a track record deploying end‑to‑end ML pipelines and AI governance in a large

Qualifications

• Bachelor’s degree in CS, Data Science, Math or closely related field; or equivalent experience (required).
• 8–10 years in ML/AI/Data Science with 3+ years in applied AI and production ML systems.
• Experience integrating LLMs and generative AI into enterprise workflows.
• Experience with data governance and enterprise compliance frameworks.
• Proficiency in Python and R for ML; familiarity with PyTorch, TensorFlow, scikit-learn or equivalents.
• Experience building LLM-powered apps, including prompt engineering and retrieval‑augmented generation (RAG).
• Strong SQL skills and experience with Databricks, Snowflake, BigQuery.

Responsibilities

• Lead embedding AI into enterprise workflows to improve productivity and decision support.
• Set standards for AI development, mentor peers, and translate ML concepts for stakeholders.
• Collaborate with Data Engineering, Data Governance and business teams to ensure scalable, secure AI solutions.

Skills

AI engineering

production ML

LLM integration

prompt engineering

RAG

technical leadership

communication

Education

Bachelor's degree in CS/Data Science/Math

Master's or PhD in CS/ML/Data Science

Tools

Python

R

scikit-learn

PyTorch

TensorFlow

Databricks

Snowflake

BigQuery

Hugging Face

Job description

Common App seeks a Principal AI & ML Engineer to lead production‑grade AI initiatives within the Data Analytics & Research division. You will embed AI into enterprise workflows, drive measurable gains in productivity, and mentor teams with strong technical authority.

Collaboration with Data Engineering and Governance is essential. Ideal candidates bring 8–10 years in ML/AI with LLM experience, deep Python/R skills, and a track record deploying end‑to‑end ML pipelines and AI governance in a large