[Remote] AI Machine Learning Engineer

Note The job is a remote job and is open to candidates in USA. Lockheed Martin is a leader in aerospace and defense, and they are seeking a Senior AI Machine Learning Engineer to join their Data & AI Enablement team. The role involves designing and developing software solutions that enhance interoperability between enterprise systems and AI-enabled workflows, requiring collaboration with various stakeholders and a strong focus on secure software practices. Responsibilities 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 Skills Experience developing software using one or more modern programming languages, such as JavaScript, TypeScript, Python, Java, C#, or similar Experience developing full stack applications, including user interface, back-end service, API, and database components Experience designing, developing, or consuming REST APIs or similar integration interfaces Experience with Git-based software configuration management tools, such as GitLab, GitHub, Bitbucket, or similar Experience working in an Agile software development environment Experience developing AI-enabled applications, including integration with large language models, AI APIs, retrieval-augmented generation, semantic search, embeddings, prompt engineering, or intelligent workflow automation Experience building enterprise system integrations using REST APIs, message queues, event-driven architectures, middleware, ETL/data pipelines, or workflow automation Experience with integration or middleware technologies, such as eQube, Quarkus, AMQ, Kafka, MuleSoft, Camel, or similar Experience with DevSecOps practices, including CI/CD pipelines, automated testing, static code analysis, dependency scanning, container scanning, secrets management, or infrastructure as code Experience with cloud or container platforms, such as Docker, Kubernetes, OpenShift, AWS, Azure, or similar Experience with enterprise software development tools, such as GitLab, Jira, Confluence, Artifactory, Jenkins, or similar Experience with Jira or GitLab APIs, webhooks, workflow automation, issue synchronization, merge request workflows, or repository automation Experience with relational or NoSQL databases, including schema design, query development, data modeling, or application integration Experience with secure software development practices, including authentication, authorization, role-based access control, API security, audit logging, and secure handling of sensitive data Experience with test automation, including unit testing, integration testing, API testing, end-to-end testing, or test-driven development Experience troubleshooting distributed applications or integrations, including API behavior, data mapping, authentication, system dependencies, observability, performance, and reliability Experience mentoring engineers, leading technical design discussions, performing code reviews, or establishing engineering best practices Strong written and verbal communication skills, including the ability to communicate technical concepts to technical and non-technical stakeholders Benefits Medical Dental Vision Life Insurance Short-Term Disability Long-Term Disability 401(k) match Flexible Spending Accounts EAP Education Assistance Parental Leave Paid time off Holidays This position is incentive plan eligible. Full-time Remote Telework The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings. Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Washington state applicants only Non-represented full-time employees accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. Company Overview Lockheed Martin is a global security and aerospace company that specializes in advanced technology systems, products, and services. It is a sub-organization of Lockheed Martin. It was founded in 1912, and is headquartered in Bethesda, Maryland, USA, with a workforce of 10001+ employees. Its website is https//www.lockheedmartin.com.