Senior Agentic AI/ML Engineer — TS/SCI (Onsite)

General Dynamics Information Technology

Virginia (MN)

On-site

USD 170,000 - 230,000

Full time

14 days+

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Job summary

IronEagleX, a GD IT subsidiary, seeks a Senior Agentic AI/ML Engineer to design, develop, and deploy AI/ML and agentic AI capabilities for advanced analytics and mission-focused decision-making. The role spans data prep, model development, evaluation, integration, deployment, and sustainment.

You will work across the AI lifecycle, collaborating with data/softw are engineers and stakeholders to deliver scalable, secure AI solutions in a fast-paced government-focused environment.

Qualifications

  • 10+ years of related experience.
  • Proficiency in Python and AI/ML libraries.
  • Understanding of supervised/unsupervised learning, feature engineering.
  • Experience with structured/unstructured data for analytics.
  • Familiarity with agentic AI concepts and LLMs.

Responsibilities

  • Design, develop, train, evaluate, and deploy ML models for mission needs.
  • Develop clean, maintainable Python code and CI/CD pipelines.
  • Build AI/ML pipelines for data ingestion, preprocessing, training, evaluation, deployment.
  • Integrate AI capabilities into applications and workflows with tools and APIs.
  • Establish and maintain reproducible environments and Git-based collaboration.

Skills

AI Agents
AI Ops
AI Systems
CI/CD
Machine Learning
Python
RESTful APIs
Git
Docker

Education

Bachelor's degree in Computer Science/Software Engineering

Tools

Docker
Git
RESTful APIs

Job description

IronEagleX, a GD IT subsidiary, seeks a Senior Agentic AI/ML Engineer to design, develop, and deploy AI/ML and agentic AI capabilities for advanced analytics and mission-focused decision-making. The role spans data prep, model development, evaluation, integration, deployment, and sustainment.

You will work across the AI lifecycle, collaborating with data/softw are engineers and stakeholders to deliver scalable, secure AI solutions in a fast-paced government-focused environment.

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