AI/ML Technical Architect Lead

General Dynamics

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Silver Spring, MD
Salary
$204,000–$276,000 / yr
Posted
22 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k
This role $240k
$167k most similar roles pay here $288k

This role pays more than 70% of similar roles. Most pay $184,900–$246,150 — the shaded band above. At the midpoint, this role pays about $240k versus about $216k for comparable roles.

Based on 239 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 1123 open roles on FindRole.

Listed pay typically runs $124,093–$150,385 across 984 roles with salary data.

Most-posted roles

View all roles at General Dynamics

At a glance

TL;DR · AI/ML Technical Architect Lead

As an AI/ML Technical Architect Lead at GDIT, you will join a team supporting the Centers for Medicare and Medicaid Services. You will serve as the technical lead for AI/ML strategy, architecture, and implementation to enhance decision support and operational readiness. Your daily responsibilities include designing, developing, and deploying scalable models, algorithms, and systems, while managing data engineering pipelines and MLOps lifecycles. You will build predictive analytics, automation frameworks, and intelligent decision-support systems within secure enterprise environments. The role requires expertise in Python, R, or Java, along with experience in TensorFlow or PyTorch, often via AWS SageMaker. You will also utilize Retrieval-Augmented Generation, agentic AI technologies, and cloud platforms like AWS Bedrock or Azure AI Foundry to solve complex problems while ensuring compliance with strict cybersecurity and data governance standards.

What you'll do

  • Serve as the technical lead for AI/ML strategy, architecture, and implementation across the program.
  • Design, develop, and deploy scalable AI models and algorithms to enhance decision support and automation.
  • Oversee data engineering pipelines and manage the full model lifecycle using MLOps practices.
  • Integrate AI solutions into secure enterprise environments while ensuring compliance with cybersecurity and data governance standards.
  • Develop and maintain protocols for model validation, explainability, and bias mitigation.
  • Transition experimental or prototype AI capabilities into operational production systems.
  • Manage AI security risks by assessing threats and producing required documentation for authorization to operate (ATO).
  • Mentor junior engineers and provide technical leadership across cross-functional teams.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field (Master's or PhD preferred).
  • 10+ years of experience in AI/ML, data science, software engineering, or advanced analytics.
  • 5+ years of hands-on experience designing, developing, and deploying AI/ML solutions in production environments with MLOps practices.
  • Proficiency in programming languages such as Python, R, and/or Java.
  • Deep understanding of machine learning frameworks like TensorFlow or PyTorch, preferably within AWS SageMaker.
  • Experience integrating AI/ML capabilities into secure enterprise environments while adhering to cybersecurity and data governance requirements.
  • Experience developing AI products using Retrieval-Augmented Generation (RAG) and agentic AI technologies.
  • Ability to obtain a Public Trust clearance and have lived in the United States for at least three of the last five years.

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