[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.ResponsibilitiesDesigning and developing full stack software solutions using modern front-end, back-end, database, and API technologiesBuilding integrations between enterprise systems through REST APIs, event-driven patterns, middleware (e.g. eQube, Quarkus, AMQ), ETL/data pipelines, and automation frameworksDeveloping AI-enabled capabilities that incorporate large language models, AI services, prompt engineering, model APIs, semantic search, document analysis, or intelligent workflow automationCreating and maintaining APIs and services that support interoperability, data exchange, system synchronization, and workflow orchestrationImplementing secure software engineering practices aligned with enterprise cybersecurity, DevSecOps, and data governance requirementsCollaborating with cross-functional teams to translate business needs into technical solutions and deliver capabilities in an agile environmentTroubleshooting complex integration issues involving data mappings, authentication, API behavior, system dependencies, performance, and reliabilitySupporting CI/CD pipelines and deployment activities for cloud, containerized, or enterprise-hosted applicationsProviding technical leadership within the team, including solution design input, code reviews, mentoring, and guidance on engineering best practicesSkillsExperience developing software using one or more modern programming languages, such as JavaScript, TypeScript, Python, Java, C#, or similarExperience developing full stack applications, including user interface, back-end service, API, and database componentsExperience designing, developing, or consuming REST APIs or similar integration interfacesExperience with Git-based software configuration management tools, such as GitLab, GitHub, Bitbucket, or similarExperience working in an Agile software development environmentExperience developing AI-enabled applications, including integration with large language models, AI APIs, retrieval-augmented generation, semantic search, embeddings, prompt engineering, or intelligent workflow automationExperience building enterprise system integrations using REST APIs, message queues, event-driven architectures, middleware, ETL/data pipelines, or workflow automationExperience with integration or middleware technologies, such as eQube, Quarkus, AMQ, Kafka, MuleSoft, Camel, or similarExperience with DevSecOps practices, including CI/CD pipelines, automated testing, static code analysis, dependency scanning, container scanning, secrets management, or infrastructure as codeExperience with cloud or container platforms, such as Docker, Kubernetes, OpenShift, AWS, Azure, or similarExperience with enterprise software development tools, such as GitLab, Jira, Confluence, Artifactory, Jenkins, or similarExperience with Jira or GitLab APIs, webhooks, workflow automation, issue synchronization, merge request workflows, or repository automationExperience with relational or NoSQL databases, including schema design, query development, data modeling, or application integrationExperience with secure software development practices, including authentication, authorization, role-based access control, API security, audit logging, and secure handling of sensitive dataExperience with test automation, including unit testing, integration testing, API testing, end-to-end testing, or test-driven developmentExperience troubleshooting distributed applications or integrations, including API behavior, data mapping, authentication, system dependencies, observability, performance, and reliabilityExperience mentoring engineers, leading technical design discussions, performing code reviews, or establishing engineering best practicesStrong written and verbal communication skills, including the ability to communicate technical concepts to technical and non-technical stakeholdersBenefitsMedicalDentalVisionLife InsuranceShort-Term DisabilityLong-Term Disability401(k) matchFlexible Spending AccountsEAPEducation AssistanceParental LeavePaid time offHolidaysThis 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 OverviewLockheed 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.