Applied AI Software Engineer (Integration)

Lockheed Martin•Fort Worth, TX

1d•Onsite

About The Position

We are seeking an Applied AI Software Engineer to help accelerate the integration of advanced artificial intelligence and machine learning capabilities into complex software systems and simulation environments. This role sits at the intersection of software development, system integration, and applied AI—enabling rapid capability delivery across virtual and hardware lab environments. You will work alongside software developers, system engineers, and test teams to integrate, evaluate, and mature AI-enabled features prior to formal system integration, verification, and validation. The ideal candidate is a strong software engineer who is comfortable working across system boundaries and is motivated to apply AI to solve real-world engineering challenges.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or related field
1+ years of experience in software engineering or systems integration
Strong programming skills in one or more of the following: Python, C++, Java
Experience applying and integrating AI/ML concepts and frameworks (e.g., model integration, inference pipelines, or data processing workflows)
Experience working in Linux-based development environments

Nice To Haves

Ability to debug and resolve complex, cross-domain technical issues
Experience working with software integration, APIs, and distributed systems
Experience integrating machine learning models into production or test environments
Familiarity with simulation environments or hardware/software lab integration
Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
Knowledge of data pipelines, MLOps practices, or model lifecycle management
Experience with real-time or embedded systems

Responsibilities

Integrate AI/ML capabilities into existing and emerging software systems, simulation frameworks, and lab environments
Collaborate with software developers to incorporate AI-driven features early in the development lifecycle
Develop and maintain integration pipelines across virtual and hardware-based test environments
Design, implement, and evaluate AI-enabled workflows for system-level capabilities
Troubleshoot complex integration issues spanning software, data, and system interfaces
Contribute to the development of tools, automation, and infrastructure that enable scalable AI integration
Work with cross-functional teams to define data requirements, interfaces, and performance metrics for AI-enabled development
Advocate and champion use of AI throughout the development lifecycle