AI Engineer with security clearance

Lockheed Martin Logo
Lockheed Martin
Fort Worth, United States
113900 - 227125 EUR / Year
  • Production
  • FlexTime
  • FullTime

Requirements

Must have:

– Minimum of 3 years of demonstrated experience in developing and deploying hardware infrastructure, including networks, servers, and cloud solutions. – At least 3 years of Linux administration experience. – Proficient in Full Stack Development with DevOps methodologies for both cloud and on-premise environments. – A valid Secret security clearance is mandatory. – Must reside near a major Lockheed Martin facility with classified network access. – Bachelors degree in software engineering or a comparable technical field is preferred. – 3 or more years of experience in managing and deploying cloud and on-premise infrastructures (e.g., Azure, AWS, VMWare). – Familiar with integrating DevOps tools into comprehensive CI/CD pipelines, Containerization, Kubernetes Management, and Infrastructure as Code. – Competent in working in collaborative local and virtual teams employing paired programming and test-driven development approaches. – Basic understanding of AI/ML principles, SDKs, and APIs across varied platforms. – Capable of obtaining a TS/SCI security clearance when necessary. – Strong communication skills paired with a collaborative attitude. – Experience in monitoring and enhancing the performance of AI systems post-deployment. – Adhere to best practices for safeguarding AI/ML data integrity and confidentiality. – Familiarity with machine learning models and algorithms, including supervised and unsupervised learning techniques.

Responsibilities:

  • Drive the development, modification, testing, deployment, and maintenance of applications and IT infrastructure in support of AI solutions. – Serve as a crucial technical resource for the hands-on enablement services team, collaborating with program engineering teams across all Lockheed Martin divisions. – Design, develop, document, test, and troubleshoot infrastructure software and scripts. – Engage in the complete software development lifecycle using Scalable Agile Methodology. – Create innovative and efficient solutions to both technical and user experience dilemmas. – Participate in agile development activities, including sprint/release planning and retrospectives. – Design and implement hardware and cloud-based infrastructure utilizing Infrastructure as Code methodologies. – Deploy and maintain intricate Kubernetes platform solutions. – Contribute insights towards architectural frameworks for software development environments. – Maintain familiarity with AI and Machine Learning services across both cloud-based and on-premise settings. – Travel to support demonstration and integration initiatives as needed.

Company:

We are Lockheed Martin, committed to driving innovative AI solutions as part of our Advanced Cloud and AI Solutions team within the Enterprise Operations sector. Located near a major facility, we provide a dynamic and forward-thinking work environment offering flexible schedules, competitive pay, and a comprehensive benefits package including medical, dental, vision, and more. We value a culture that empowers all employees to challenge norms, foster creativity, and work collaboratively towards making significant advancements in technology. If youre eager to contribute to impactful projects while cultivating your professional growth, we invite you to explore this exciting opportunity with us.

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