Principal AI Software Engineer (AHT)

$125K - $187K Beavercreek, OH, US Senior AI Software Engineer

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Skills & Technologies

AwsKerasPytorchTensorflow

About This Role

AI job market dashboard showing open roles by category

RELOCATION ASSISTANCE: Relocation assistance may be available

CLEARANCE REQUIRED FOR START: No

CLEARANCE TYPE: Top Secret

TRAVEL: Yes, 10% of the TimeDescription

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At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history \- from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

The Northrop Grumman C2 \& Weapons Integration (CWI) Artificial Intelligence (AI) Center of Excellence in Beavercreek, Ohio is seeking a Principal AI Software Engineer. This role supports research and development in areas including Large Language Models (LLMs), natural language processing (NLP), natural language understanding (NLU), natural language generation (NLG), AI‑based decision\-making, sensor fusion, data fusion, computer vision, and image processing, with a focus on responsible and explainable AI.

Key Responsibilities

  • Define, develop, and deliver mathematical and statistical models and algorithms to address prediction, optimization, and classification problems.
  • Apply machine learning algorithms to large structured and unstructured datasets for use cases such as autonomy, pattern recognition, target detection and tracking, recommendation and decision support systems, signals processing, and robotic systems.
  • Design, develop, document, test, debug, and deploy AI/ML applications.
  • Collaborate with cross‑functional teams to deploy AI/ML solutions in development and production environments.
  • Prepare and present technical progress and results to internal and external stakeholders.

Basic Qualifications

  • Bachelor’s degree in Computer Science or a related STEM field with 5 years of relevant experience, or master’s degree in Computer Science or a related STEM field with 3 years of relevant experience; an additional 4 years of relevant experience may be considered in lieu of a degree.
  • Experience implementing and/or applying one or more AI models and algorithms (for example: LLMs, deep neural networks, genetic algorithms, embedding models, deep learning architectures).
  • Experience developing systems using AI/ML frameworks and libraries such as PyTorch, TensorFlow, Keras, or Scikit‑learn.
  • Experience across the ML pipeline, including:

+ Working with novel or heterogeneous datasets.

+ Data processing and preparation.

+ Training and fine‑tuning ML systems.

+ Modifying existing deep learning architectures and implementing models from architecture diagrams.

+ Evaluating system performance using established and custom metrics and methods.

  • Ability to perform rapid prototyping and proof‑of‑concept implementations.
  • General familiarity with applied machine learning concepts, including multilayer perceptrons, convolutional neural networks (CNNs), recurrent architectures such as LSTMs, transformer models, supervised and unsupervised learning methods, reinforcement learning methods, and statistical or graphical models.
  • General familiarity with computational and statistical learning theory.
  • Experience with web application development frameworks such as Flask or FastAPI.
  • Understanding of software engineering practices, including use of source control and basic software architecture concepts.
  • Ability to obtain a U.S. Government TS/SCI security clearance with CI Poly

Preferred Qualifications

  • Active TS/SCI clearance with CI Poly
  • Experience with AWS or other commercial cloud computing platforms.
  • Experience with microservice architectures and related practices, including containerization and container orchestration technologies.
  • Familiarity with explainable AI, adversarial AI, active learning, and third‑wave AI approaches.
  • Familiarity with DevOps, DevSecOps, and/or MLOps concepts and workflows.
  • Familiarity with Linux\-based operating systems.
  • Experience working independently to plan and execute technical tasks.
  • Hands\-on experience with LLMs (e.g., prompt design/engineering, use of LLM development frameworks, fine‑tuning, or model quantization).
  • Experience with modeling and simulation.
  • Experience using vector databases and/or graph databases.

\#PWRTA3

Primary Level Salary Range: $125,300\.00 \- $187,900\.00

The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.

Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.

The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.

Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Salary Context

This $125K-$187K range is below the median for AI Software Engineer roles in our dataset (median: $185K across 231 roles with salary data).

Role Details

Title Principal AI Software Engineer (AHT)
Location Beavercreek, OH, US
Category AI Software Engineer
Experience Senior
Salary $125K - $187K
Remote No

About This Role

AI Software Engineers build the applications and systems that AI models run inside. They own the API layers, data pipelines, frontend integrations, and infrastructure that turn a model into a product users interact with. Every AI company needs engineers who can build the software around the AI.

The challenge is building reliable systems around inherently unreliable components. Models are probabilistic. They'll give different answers to the same question. They hallucinate. They're slow. They're expensive. Your job is to build an application layer that handles all of this gracefully while delivering a product that users trust and enjoy.

Across the 4,317 AI roles we're tracking, AI Software Engineer positions make up 7% of the market. At Northrop Grumman, this role fits into their broader AI and engineering organization.

AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.

What the Work Looks Like

A typical week includes: building API endpoints that serve model inference with caching and fallback logic, designing the data pipeline that feeds context to a RAG system, implementing streaming responses in the frontend, debugging a race condition in the async inference pipeline, and optimizing database queries for the vector search layer. It's full-stack engineering with AI at the center.

AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.

Skills Required

Aws (28% of roles) Keras (1% of roles) Pytorch (15% of roles) Tensorflow (12% of roles)

Full-stack engineering skills with AI integration experience. Python and TypeScript are the most common requirements. You'll need to understand API design, database architecture, and how to build reliable systems around probabilistic outputs. Experience with streaming, async processing, and caching patterns is increasingly important as real-time AI applications proliferate.

Knowledge of vector databases, embedding APIs, and LLM integration patterns (function calling, structured outputs, retry logic) differentiates AI software engineers from general software engineers. Understanding cost optimization (caching strategies, model routing, batched inference) is valuable since inference costs can dominate application economics.

Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.

Compensation Benchmarks

AI Software Engineer roles pay a median of $218,500 based on 729 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $227,400. This role's midpoint ($156K) sits 28% below the category median. Disclosed range: $125K to $187K.

Across all AI roles, the market median is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. For comparison, the highest-paying categories include AI Safety ($287,500) and Research Engineer ($272,100). By seniority level: Entry: $110,000; Mid: $194,400; Senior: $227,400; Director: $274,554; VP: $241,000.

Northrop Grumman AI Hiring

Northrop Grumman has 14 open AI roles right now. They're hiring across AI Software Engineer, Data Scientist, Research Scientist. Positions span Beavercreek, OH, US, Wright-Patterson AFB, OH, US, Corinne, UT, US. Compensation range: $151K - $265K.

Location Context

Across all AI roles, 15% (635 positions) offer remote work, while 3,657 require on-site attendance. Top AI hiring metros: New York (1,650 roles, $220,000 median); San Francisco (1,335 roles, $265,000 median); Los Angeles (708 roles, $214,112 median).

Career Path

Common paths into AI Software Engineer roles include Software Engineer, Full-Stack Developer, Backend Engineer.

From here, career progression typically leads toward Staff Engineer, AI Architect, Engineering Manager.

If you're a software engineer, you're already 80% there. Learn the AI integration patterns: RAG, streaming inference, function calling, structured outputs. Build a project that demonstrates you can wrap an AI model in a production-quality application with proper error handling, caching, and user experience. That's the portfolio piece that gets you hired.

What to Expect in Interviews

Technical screens look like standard software engineering interviews with an AI twist. Expect system design questions about building reliable applications around probabilistic models: handling streaming responses, implementing retry logic for API failures, and designing caching strategies for LLM outputs. Coding rounds test standard algorithms plus practical integration patterns like async processing and rate limiting.

When evaluating opportunities: Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.

AI Hiring Overview

The AI job market has 4,317 open positions tracked in our dataset. By seniority: 138 entry-level, 2,071 mid-level, 1,655 senior, and 453 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (635 positions). The remaining 3,657 roles require on-site or hybrid attendance.

The market median for AI roles is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. Highest-paying categories: AI Safety ($287,500 median, 34 roles); Research Engineer ($272,100 median, 227 roles); AI Engineering Manager ($244,000 median, 23 roles).

AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.

The AI Job Market Today

The AI job market spans 4,317 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (3,004), Data Scientist (345), AI Software Engineer (309). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.

The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (138) are outnumbered by mid-level (2,071) and senior (1,655) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 453 positions, representing the bottleneck between technical execution and organizational strategy.

Remote work availability sits at 15% of all AI roles (635 positions), with 3,657 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.

AI compensation is structured in clear tiers. The market median sits at $215,000. Top-quartile roles start at $266,300, and the 90th percentile reaches $320,790. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.

Category matters for compensation. AI Safety roles lead at $287,500 median, while Prompt Engineer roles sit at $145,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.

The most in-demand skills across all AI postings: Python (2,249 postings), Aws (1,224 postings), Azure (938 postings), Rag (915 postings), Gcp (660 postings), Pytorch (640 postings), Prompt Engineering (624 postings), Kubernetes (559 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.

Frequently Asked Questions

Based on 729 roles with disclosed compensation, the median salary for AI Software Engineer positions is $218,500. Actual compensation varies by seniority, location, and company stage.
Full-stack engineering skills with AI integration experience. Python and TypeScript are the most common requirements. You'll need to understand API design, database architecture, and how to build reliable systems around probabilistic outputs. Experience with streaming, async processing, and caching patterns is increasingly important as real-time AI applications proliferate.
About 15% of the 4,317 AI roles we track offer remote work. Remote availability varies by company and seniority level, with senior and leadership roles more likely to offer location flexibility.
Northrop Grumman is among the companies actively hiring for AI and ML talent. Check our company profiles for detailed breakdowns of open roles, salary ranges, and hiring trends.
Common next steps from AI Software Engineer positions include Staff Engineer, AI Architect, Engineering Manager. Progression depends on whether you lean toward technical depth, people management, or product strategy.

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