AI Machine Learning Engineer Sr. (mid-career)

AI Machine Learning Engineer Sr. (mid-career) Data & AI Enablement is seeking a Senior AI Machine Learning Engineer to join the Enterprise Interoperability Framework team. This team designs, develops, and supports software solutions that enable interoperability between disparate enterprise systems, data platforms, development tools, and AI-enabled workflows. The candidate will work as part of an agile engineering team and will be expected to contribute across the full software development lifecycle, including requirements analysis, system design, front-end and back-end development, API integration, automated testing, deployment support, troubleshooting, and sustainment. The role requires close collaboration with product owners, software engineers, data engineers, AI/ML practitioners, cybersecurity teams, DevSecOps teams, and business stakeholders to deliver secure, scalable, and maintainable solutions. Responsibilities may include: Designing and developing full stack software solutions using modern front-end, back-end, database, and API technologies. Building integrations between enterprise systems through REST APIs, event-driven patterns, middleware (e.g. eQube, Quarkus, AMQ), ETL/data pipelines, and automation frameworks. Developing AI-enabled capabilities that incorporate large language models, AI services, prompt engineering, model APIs, semantic search, document analysis, or intelligent workflow automation. Creating and maintaining APIs and services that support interoperability, data exchange, system synchronization, and workflow orchestration. Implementing secure software engineering practices aligned with enterprise cybersecurity, DevSecOps, and data governance requirements. Collaborating with cross-functional teams to translate business needs into technical solutions and deliver capabilities in an agile environment. Troubleshooting complex integration issues involving data mappings, authentication, API behavior, system dependencies, performance, and reliability. Supporting CI/CD pipelines and deployment activities for cloud, containerized, or enterprise-hosted applications. Providing technical leadership within the team, including solution design input, code reviews, mentoring, and guidance on engineering best practices. What's In It For You From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin's comprehensive benefits package here. Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you 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. #EBDT Strong written and verbal communication skills, including the ability to communicate technical concepts to technical and non-technical stakeholders.