Join Lockheed Martin’s digital transformation journey as we accelerate the OneLM Mission-Driven Transformation through our 1LMX program. This strategic priority is reshaping our operations and business processes to better serve our customers in terms of cost, quality, and capabilities, while delivering the speed, agility, and insights necessary to stay ahead of rapidly-evolving threats.

The AI Research and Enterprise Solutions (AIRES) team within the Data & AI Enablement Organization is seeking a talented junior-level full stack engineer looking to grow into AI/ML to support the Virtual Program Assistant team. VPA is a foundational Program Management infrastructure hub for program management, reporting, and analytics, enabling improved and predictable program performance. It leverages enterprise-wide program management applications to compare, compile, and analyze program data to assist the program manager in optimizing program costs and schedules.

What You Will Be Doing: In this role, you will collaborate with a variety of experts in AI, software engineering, and systems development. You will play a critical role in positioning the organization for long-term success by driving strategic insights, innovation, and competitive edge. You will contribute to the development of cutting-edge solutions that will proactively manage issues, drive continuous improvement, and inform data-driven decision making. Your key responsibilities will include the following

• Partnering with application teams to rapidly deploy MVPs for in-house software development, using a build vs. buy approach • Designing, developing, testing, and deploying full stack applications, using a combination of front-end and back-end technologies • Engaging in every phase of the SDLC including requirements, system and software design, implementation, and integration • Collaborating with cross-functional teams to identify and prioritize project requirements • Participating in code reviews, ensuring high-quality code and adherence to best practices • Participating in the development of data-driven products, from concept to deployment, and ensuring seamless integration with existing systems • Designing and developing APIs that effectively leverage data to power intuitive UI components, ensuring seamless data exchange and visualization • Staying up-to-date with emerging trends and technologies in AI-enabled development, and applying this knowledge to improve our development processes and tools

Who You Are: You are a experienced and innovative Full Stack Engineer with a passion for software engineering, systems development, and solutioning with AI technologies. You have a growth mindset, are curious and enthusiastic about exploring new technologies and solutions, and have a strong desire to stay up-to-date with the latest developments in the field. You're also skilled at leading projects and driving initiatives forward, motivating and guiding teams to achieve their goals. You're agile and flexible, able to navigate complex technical problems with ease, and are comfortable with ambiguity and uncertainty, making you well-suited to drive innovation and improvement.

What’s In It For You: From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, .

Lockheed Martin provides the resources and the flexibility to enable inspiration and focus! If you have the passion and courage to dream big, work hard, and have fun doing what you love, then we want to build a better tomorrow with you! Desired skills • Experience with front-end frameworks (e.g., React, Angular) and back-end frameworks (e.g., Node.js, Django) • Experience with DevOps practices, including CI/CD • Experience with cloud-based platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker) and related tools (e.g. Flyte, OpenShift, Watson Studio) • Experience with open source projects • Familiarity with agile development methodologies and version control systems (e.g., Git, JIRA) • Experience building and maintaining data pipelines that support ETL processes • Experience w/ model interpretability, explainability, and transparency • Experience with machine learning techniques and frameworks (e.g. TensorFlow, PyTorch) • Experience designing, training, and deploying machine learning solutions in production • Experience in refining and scaling the machine learning life cycle • Experience in Natural Language Processing (NLP) in production solutions • Experience using LLM frameworks (Langchain, Llama, Hugginface, etc) • Experiencing utilizing predictive analytics techniques (time series, multiple regression, random forest, etc.) • Experience utilizing data visualization tools and packages (Tableau, Shiny, etc.) • Experience with people-centered design principles, including human-centered design methodologies (e.g., design thinking, user experience (UX) design) and user research and testing methods (e.g., usability testing, A/B testing) • Demonstrated experience designing and building solutions in any of the following areas: AI Agents, Named Entity Recognition, Document Classification, Document Summarization, Chatbots, and/or Sentiment Analysis • Working knowledge of deep learning architectures (e.g., CNN, RNN, Transformer) • Working knowledge of graph algorithms and experience with graph databases (e.g. Neo4j)