AI Applications Software Engineer Sr.

Lockheed Martin Corporation•Dallas, TX

58d•$89,300 - $178,135•Remote

About The Position

The Lockheed Martin Artificial Intelligence Center (LAIC) AI Consulting team within Enterprise Operations is seeking an AI software engineer to support our strong DevSecOps culture. Our skilled engineers have discipline and domain specific experience and training, best in industry software development practices and patterns, and cutting-edge tools for software design, development, configuration management, quality, security, and deployment. This is an exciting opportunity to lead the development and deployment of AI solutions that can drive business value and innovation across the Lockheed Martin enterprise. With a focus on collaboration, innovation, and technical expertise, this role is perfect for a seasoned professional looking to make a significant impact in the field of AI. The selected candidate will possess a balance of foundational software development skills and familiarity with emerging AI technologies. This position will be involved in developing, modifying, testing deploying, maintaining and sustaining applications in support of the LAIC AI Consulting team. The selected candidate will be a key technical resource on a team with other AI software engineers.

Requirements

Proficiency in Python, and at least one of the following: JavaScript/TypeScript, Go, Rust
Familiarity with RESTful APIs, web services, container systems and platforms (e.g. kubernetes and Openshift)
Proficiency in DevSecOps practices, including Continuous Integration/Continuous Deployment (CI/CD) pipelines with tools such as Jenkins, GitLab, or GitHub Actions
Experience with structured and unstructured data storages, such as relational databases and vector stores
Experience taking software applications from pilot to production, as well as maintaining and sustaining applications long-term in an enterprise setting

Nice To Haves

Experience with AI modeling (GenAI and traditional modeling) and AI application development
Familiarity with cloud-bases platforms such as AWS, Google Cloud and Azure
Experience authoring documentation, setting standards and guides for best practices in software development
Experience in re-engineering legacy applications for better scalability, robustness and efficiency
Ability to thrive in ambiguity and adapt to the fast-evolving AI landscape
Strong written and verbal communication skills
Familiarity with agile development methodologies
Familiarity with infrastructure as code

Responsibilities

Successful development, testing, deployment, maintenance and sustainment of AI-enabled applications, incorporating agile and DevOps methodologies and concepts
Upgrading previously developed applications/algorithms for enhanced robustness and scalability
Converting rapid pilot applications into production-ready and, in some cases, commercialization-ready applications
Leading adoption of existing and new software standards into the development of AI applications
Periodic travel to Lockheed Martin sites may be required, as well as the ability to work in a virtual environment.