Ai Systems Engineer - Level 4

Northrop Grumman

Falls Church, VA, US
$156,400.00 - $234,600.00; bonus/equity: discretio...
Hybrid
Ai infrastructure engineering
Ai model deployment at scale
Data ingestion
Northrop Grumman is seeking a Senior AI Systems Engineer (Level 4) to join their AI Infrastructure Engineering team, focusing on data ingestion, AI infrastructure, and model deployment. The role requires a blend of technical expertise in AI and cloud services, as well as strong communication skills to collaborate with various teams

Job Summary

  • This role will report to the Manager of AI Infrastructure Engineering and will be remote and/or hybrid supporting the Falls Church, VA office.
  • Responsibilities include architecting and implementing end‑to‑end pipelines for data ingestion, model training, validation, and serving.
  • The selected candidate will work with a team of DevOps and AI Systems Engineers focused on data ingestion, AI infrastructure, and AI model deployment at scale ensuring AI solutions are both economical and trustworthy.

Matching Summary

Match Score: 85

Northrop Grumman is seeking a Senior AI Systems Engineer (Level 4) to join their AI Infrastructure Engineering team, focusing on data ingestion, AI infrastructure, and model deployment. The role requires a blend of technical expertise in AI and cloud services, as well as strong communication skills to collaborate with various teams.

Salary

$156,400.00 - $234,600.00; Bonus/Equity: Discretionary bonus, potential for Long Term Incentives for VP/Director positions; Benefits: Health insurance, life and disability insurance, savings plan, Company paid holidays and PTO

Skills & Requirements

Must-have

  • AI Infrastructure Engineering
  • AI model deployment at scale
  • data ingestion
  • AI hardware and software frameworks
  • cybersecurity for AI systems

Nice-to-have

  • cognitive diversity
  • intellectual curiosity
  • pioneering spirit
  • bold new ideas
  • invent the future

Key Requirements

  • 8 years of relevant experience with a Bachelors degree
  • 6 Years of relevant experience with a Masters degree
  • 4 Years of relevant experience with PhD
  • at least 3 years of experience focused on AI or MLOps
  • minimum of 2 years working with cloud (AWS or Azure) infrastructure
  • experience with relevant programming languages
  • basic knowledge of database technologies
  • experience with evaluating and implementing cybersecurity for AI systems
  • demonstrable knowledge of matching hardware configuration to AI system requirements

Work Rights

Not specified

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