AI Software Engineer, PAE Fires

The MITRE Corporation•Huntsville, AL

4d•Onsite

About The Position

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. 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.

Requirements

Typically requires a minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 3 years and a PhD; 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.

Nice To Haves

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.

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.