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AI Machine Learning Engineer Sr. (mid-career)
- Bethesda, Maryland, United States
- Bethesda, Maryland, United States
About
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 (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 and comprehensive benefits investing in your future and security. Our benefits include medical, dental, vision, life insurance, short‑term and long‑term disability, 401(k) match, flexible spending accounts, employee assistance program, education assistance, parental leave, paid time off, and holidays. The position is incentive plan eligible.
Basic Qualifications
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, APIs, and database components.
Experience designing, developing, or consuming REST APIs or similar integration interfaces.
Experience with Git‑based configuration management tools such as GitLab, GitHub, Bitbucket, or similar.
Experience working in an Agile software development environment.
Desired Skills
Experience developing AI‑enabled applications, 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.
Clearance Level None
Equal Opportunity Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
Additional Information Experience Level: Experienced Professional
Business Unit: Enterprise Business Services
Relocation Available: Possible
Career Area: Software Engineering
Type: Full‑Time
Shift: First
Schedule: 4x10 hour day, 3 days off per week
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Languages
- English
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