Senior Agentic AI/ML Engineer

General Dynamics

Quick summary

Work type
On-site
Location
Arlington, VA
Salary
$199,750–$270,250 / yr
Posted
1 day ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $200k
This role $235k
$149k most similar roles pay here $283k

This role pays more than 71% of similar roles. Most pay $162,000–$238,675 — the shaded band above. At the midpoint, this role pays about $235k versus about $200k for comparable roles.

Based on 240 similar postings.

Employer

About General Dynamics

General Dynamics is a global aerospace and defense company offering a broad portfolio of products and services in business aviation, ship construction, land combat vehicles, and information technology. It serves customers in the U.S. government, allied governments, and a diverse array of commercial markets.

General Dynamics currently has 519 open roles on FindRole.

Listed pay typically runs $118,519–$150,385 across 438 roles with salary data.

Most-posted roles

View all roles at General Dynamics

At a glance

TL;DR · Senior Agentic AI/ML Engineer

Role Posting Log in to save

Iron EagleX seeks a Senior Agentic AI/ML Engineer to join their team in Crystal City, VA, focusing on designing and deploying advanced machine learning and agentic AI solutions. This role involves developing Python-based code for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment while integrating these models into applications and workflows. Key responsibilities include building robust pipelines, evaluating system accuracy and reliability, and collaborating with cross-functional teams to deliver secure and scalable AI/ML capabilities. The ideal candidate should have expertise in Python, ML frameworks like TensorFlow or PyTorch, Git version control, Docker containerization, and MLOps practices. Experience with agentic AI concepts such as task planning, tool selection, and multi-agent collaboration is essential for this mission-focused role.

Skills

Python CI/CD MLOps Git Docker RESTful APIs TensorFlow PyTorch scikit-learn Kubernetes PostgreSQL DevSecOps LLMOps LangChain LangGraph

What you'll do

  • Design and develop machine learning models to support mission-focused use cases.
  • Build and maintain AI/ML pipelines for data ingestion, preprocessing, and model deployment.
  • Develop agentic AI workflows that reason over tasks, use tools, and interact with external systems.
  • Evaluate agentic systems for accuracy, reliability, safety, and operational suitability.
  • Integrate APIs and services to enable AI/ML capabilities within larger software systems.

What we're looking for

  • Proficient in Python and AI/ML libraries/frameworks.
  • Experience developing, training, evaluating, and deploying ML models.
  • Strong understanding of supervised learning, model evaluation, feature engineering.
  • Hands-on experience with structured/unstructured data for analytics/AI use cases.
  • Familiarity with modern AI concepts like prompting, embeddings, retrieval-augmented generation.
  • Experience designing or integrating agentic AI workflows using LLMs and APIs.
  • Understanding of MLOps and LLMOps concepts including CI/CD, monitoring, deployment.

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