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About This Role
Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long\-term well\-being of our employees. MITRE is different from most technology companies. We are a not\-for\-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R\&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE \- and make a difference with us.
The Army Soldier and Weapon Systems Department (N214\) mission is to provide world class engineering workforce for combat, testing, and training capabilities to provide the U.S. Army an asymmetric advantage. Key sponsors of the Department work program include CPE Simulation, Training, Test, \& Threat (Orlando, FL), CPE Ground – Soldier Systems (Fort Belvoir, VA), CPE Ground – Combat Platforms and DEVCOM Ground Vehicle Systems Center (Ann Arbor, MI), DEVCOM Soldier System Center (Natick, MA), PAE Fires and CPE Aviation (Huntsville, AL), Army Test and Evaluation Command (Aberdeen Proving Ground, MD) and CPE Chemical, Biological, Radiological and Nuclear Defense (Edgewood, MD). The work programs leverage a diverse set of technical disciplines from within the Department and across the corporation to maximize our impact in solving some of the Army’s toughest modernization challenges in the areas of systems engineering, agile software development, test and evaluation, digital engineering, autonomous systems, and training.
Job Description:
The Army Soldier and Weapons Systems Department is seeking a technical oriented, Artificial Intelligence (AI) software engineer to support PAE Fires Intergraded Air and Missile Defense efforts. Successful candidates will work closely with government civilians and military to define and execute MITRE’s work. The candidate must work as part of a multiple disciplinary development team to integrate capabilities, both AI and software into the platform.
Roles and Responsibilities:
- Leverage a technical understanding software expertise to integrate Artificial Intelligence into Intergraded Air and Missile Defense capabilities.
- Work within multiple disciplinary development team:
+ Deliver strategy and recommendations to deliver optimal Technical Performance through the application of software engineering principles and best practices
+ Recognize technical challenges and lead engineering activities to deliver appropriate solutions
- Identify and articulate program risks and associated opportunities
- Establish goals and communicate clear expectations and guidance that contribute to highest priority sponsor outcomes
- Establishing strong relationships within the sponsor organization.
- Defining opportunities to collaborate with organizations outside of the sponsor to create a greater mission outcome.
Basic Qualifications:
- Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years’ experience; or equivalent combination of related education and work experience.
- Experience translating business problems into Artificial Intelligence and Machine Learning (AI//ML) use cases with measurable outcomes.
- Ability to define success metrics, baselines, and ROI for AI initiatives.
- Strong understanding of data lifecycles: collection, labeling, cleaning, enrichment, and governance.
- Understanding of data quality practices: schema enforcement, validation, anomaly detection, and data contracts.
- Strong practical ML knowledge (supervised, unsupervised, basic deep learning) for specialized domains such as Natural Language Processing (NLP), Large Language Models (LLMs), Retrieval\-Augmented Generation (RAG), and/or Computer Vision (CV).
- Knowledge of AI/ML evaluation methodology such as proper train/validation/test splits, cross\-validation
- Experience with MLOps fundamentals (CI/CT/CD) for building, training, and deployment of AI/ML
- Experience with responsible AI / ethical AI practices to detect bias, ensure fairness, and safety.
- Experience performing AI risk assessments and developing mitigation strategies.
- Hands\-on skills in at least one and ideally multiple modern programming languages (e.g., Java, JavaScript/TypeScript, C/C\+\+, C\#, Python, Go, or Rust).
- Demonstrated experience with the Tactical Assault Kit (TAK) ecosystem
- Understanding of networking, including sockets, UDP/TCP, and multicast.
- Demonstrated ability and desire to quickly learn and apply new technologies.
- Experience and proven results utilizing systems engineering and modern software best practices
- Ability to identify gaps and shortfalls in operational performance and propose effective mitigations.
- Demonstrated experience with software development efforts and yielding impactful results at high levels of government and/or industry.
- Proven experience engaging sponsors with successful impacts and outcomes, and establishing and maintaining strategic partnerships
- Established track record in leading the transition of data\-driven technical products with the military warfighting domain, resulting in positive mission impact.
- Critical thinking, analytic, and problem\-solving skills – comfortable working in dynamic settings where task objectives may evolve or need to be shaped, or creative solutions to task impediments must be identified.
- Active Secret Clearance
- U.S. Citizenship required
- This position requires a minimum of 4 days a week on\-site.
Preferred Qualifications:
- An advanced degree in Computer Science, Software Engineering, Computer Engineering, or Game Development.
- Current/Active TS/SCI Clearance.
- Strong understanding of Agile values and principles and how to apply them pragmatically in different contexts
- Experience in shifting an organization from project\-thinking to product\-thinking and flow\-based work
- Experience as a Scrum Master and/or Product Owner across multiple teams
- Experience in removing impediments, shielding teams from unnecessary distractions, and foster self\-management
- Successfully coached teams in slicing work, writing effective user stories, and managing backlogs
- Deep understanding of (Scaled Agile Framework (SAFe) configurations (Essential, Large Solution, Portfolio, Full SAFe)
- Experience in planning and facilitating Program Increment (PI) Planning and Inspect \& Adapt workshops
- Experience establishing Agile Release Trains (ARTs) and synchronizing multiple Scrum/Kanban teams
- Hands\-on experience with agile tools (Jira, Azure DevOps, Rally, etc.) for scaled environments
- Prior experience developing or assessing Army systems or operations, reflected by:
+ Working knowledge of Army organizations, missions, roles/responsibilities, and relationships.
- At least 5 years of experience working across Army organizations with an expert\-level understanding on Software Engineering
- Excellent interpersonal and technical communication skills, with the ability to author technical reports, present briefings, and persuasively speak to audiences of all backgrounds, including executives or senior customers.
- Demonstrated ability to work in an interdisciplinary team environment, establish and leverage a diverse professional network, and integrate contributions from a variety of resources (people, tools, organizations).
- Demonstrates collaboration and communication skills to support individual, team, and customer\-related interaction.
- Demonstrated ability to take risks and lead work with partial insights, and operate effectively autonomously
- Demonstrated ability to build collaboration across organizational units.
This requisition requires the candidate to have a minimum of the following clearance(s):
SecretThis requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
SecretSalary compensation range and midpoint:
$191,200 \- $239,000 \- $286,800 AnnualWork Location Type:
OnsiteCommitment to Non\-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.
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Role Details
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 3,708 AI roles we're tracking, AI Software Engineer positions make up 7% of the market. At MITRE, 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
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 $219,250 based on 424 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $230,000.
Across all AI roles, the market median is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. For comparison, the highest-paying categories include AI Safety ($300,000) and Research Engineer ($280,000). By seniority level: Entry: $120,000; Mid: $200,000; Senior: $230,000; Director: $272,150; VP: $250,000.
MITRE AI Hiring
MITRE has 6 open AI roles right now. They're hiring across AI/ML Engineer, AI Software Engineer. Positions span McLean, VA, US, Springfield, VA, US, Huntsville, AL, US.
Location Context
Across all AI roles, 14% (508 positions) offer remote work, while 3,180 require on-site attendance. Top AI hiring metros: New York (1,045 roles, $220,000 median); San Francisco (810 roles, $277,088 median); Los Angeles (397 roles, $215,000 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 3,708 open positions tracked in our dataset. By seniority: 102 entry-level, 1,705 mid-level, 1,469 senior, and 432 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (508 positions). The remaining 3,180 roles require on-site or hybrid attendance.
The market median for AI roles is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. Highest-paying categories: AI Safety ($300,000 median, 21 roles); Research Engineer ($280,000 median, 147 roles); AI Architect ($254,798 median, 67 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 3,708 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (2,605), Data Scientist (310), AI Software Engineer (259). 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 (102) are outnumbered by mid-level (1,705) and senior (1,469) 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 432 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (508 positions), with 3,180 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 $217,500. Top-quartile roles start at $272,100, and the 90th percentile reaches $325,000. 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 $300,000 median, while Prompt Engineer roles sit at $140,000. 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 (1,890 postings), Aws (1,103 postings), Azure (877 postings), Rag (855 postings), Gcp (631 postings), Prompt Engineering (560 postings), Pytorch (545 postings), Claude (498 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
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