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AI Engineer Sr (Mid-Career) - Infrastructure & Platform Ops / Remote

Description:When it comes to using cutting-edge machine learning to tackle complex problems, Lockheed Martin is driven by a singular mission focus and desire to continuously innovate! Today’s challenges to global security aren’t just changing – they’re accelerating faster than ever before. Through our dedication to our mission, our AI-enabled systems are changing the way militaries operate and protect their forces, the way first responders fight fires, and how researchers explore the far reaches of space and the ocean’s depths.The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a mid-career AI Systems Engineer to support the AI Factory, an enterprise Artificial Intelligence and Machine Learning (AI/ML) platform.Your Mission:As the Infrastructure and Platform Operations Engineer to support the AI Factory, you will be embedded in the AI Factory team working alongside MLOps platform engineers, software engineers, product managers, and data scientists. You will focus on the stability and reliability of AI/ML computing resources, orchestration, automation, and services. Additionally, you will contribute to a broad range of projects across the enterprise to increase machine learning availability and value to Lockheed Martin. Your responsibilities will include the following:• Building and maintaining complex computing environments designed to train, deploy, and operate Artificial Intelligence systems• Addressing user needs and resolving system reliability and stability concerns• Closely collaborating with other AI/ML Engineers, Data Scientists, and Data Engineering subject matter experts• Closely collaborating with Central IT, Cybersecurity, and Engineering teams for on-premises, isolated, and cloud deployments of the platform• Working with the vendors to advocate for Lockheed Martin’s needs for Machine Learning and Artificial Intelligence platformsAs a mid-level engineer, you'll be a strong fit for this role if you have a solid track record of technical expertise and a growing ability to apply strategic thinking to complex problems. You're able to prioritize tasks, manage multiple projects, and collaborate effectively with internal stakeholders. You're also a motivated and adaptable individual with a proven ability to learn and take on new challenges, and strong communication skills to effectively work with others in a fast-paced and dynamic environment.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.Lockheed Martin provides the resources and 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!Our Commitment to Diversity and Inclusion:We Hear You, We See You. At LM Enterprise Operations we invest in people and promoting the sharing of ideas to create incredible solutions. We know that our success depends on the combined efforts of diverse-thinkers like you! At LM Enterprise Operations, we cultivate an inclusive environment that appreciates differences and unique thinking.Our global commitment to diversity and inclusion reflects our values of doing what's right, respecting others and performing with excellence. Learn more here: Global Diversity and Inclusion.Further Information About This Opportunity:This is fully remote position, but requires US citizenship due to system access.#LMLAICBasic Qualifications:• Kubernetes experience, including distributions (Openshift, Rancher, GKE)• Linux experience, including distributions (RHEL (Red Hat Enterprise Linux), Debian, UNIX, etc)• Experience with Open Container Initiative (OCI), such as runC, containerd, and CRI-O• Familiarity with diverse IT principles, including Networking, Storage, Computing, Security, and Distributed Services• Familiarity with Programming and Scripting, such as Python, Go, Bash• Familiarity with computing design and operations• Strong oral and written communication skills, and ability to collaborate with cross-functional partners• US Citizen is required due to system accessDesired Skills:• Experience with DevSecOps software development practices• Familiarity with Container Storage, including Container Storage Interfaces (CSI) and Persistent Volumes• Familiarity with Pipeline and GitOps Automation, such as ArgoCD, Tekton, Gitlab CI/CD• Familiarity with Kubernetes Automation, such as Helm or Kustomize• Familiarity with Infrastructure Automation, such as Ansible or Terraform• Experience with Collaboration Tools, such as Slack, Confluence, and Gitlab• Knowledge of Server Room design, including server hardware, rack diagrams, power, and cooling requirements• Knowledge of Monitoring and Performance, such as Prometheus, Grafana, and Thanos• Knowledge of Container Security, such as Falco, Sysdig Secure, Aqua, or Anchore• Knowledge of Image Registries, such as Quay or Harbor• Knowledge of Storage, such as Ceph, NetApp, Object/AWS S3• Knowledge of Machine Learning Architectures, including GPU Computing, High Performance Computing (HPC)• Knowledge of AI/ML Orchestration tools, such as Kubeflow or OpenDataHubClearance Level: NoneOther Important Information You Should KnowExpression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.Ability to Work Remotely: 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.Work Schedules: 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.Schedule for this Position: 4x10 hour day, 3 days off per weekPay Rate:The annual base salary range for this position in most major metropolitan areas in California and New York is $103,100 - $194,300. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/ training, key skills as well as market and business considerations when extending an offer.Benefits offered: 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, and Holidays.This position is incentive plan eligible.Pay Rate:The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Maryland, Washington or Washington DC is $89,600 - $171,800. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.Benefits offered: 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, and Holidays.(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.This position is incentive plan eligible.Lockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.Join us at , where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They’re dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about.As a leading technology innovation company, ’s vast team works with partners around the world to bring proven performance to our customers’ toughest challenges. has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.Experience Level: Experienced ProfessionalBusiness Unit: ENTERPRISE BUSINESS SERVICESRelocation Available: NoCareer Area: Artificial IntelligenceType: Full-TimeShift: First
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What You Should Know About AI Engineer Sr (Mid-Career) - Infrastructure & Platform Ops / Remote, Lockheed Martin

Are you ready to advance your career as an AI Engineer Sr. at Lockheed Martin? Join our innovative team in Bethesda, MD, and work on the cutting-edge of artificial intelligence and machine learning! Our mission is clear: we strive to tackle complex global security challenges with AI-driven solutions. In this mid-career role, you'll contribute significantly to our AI Factory platform, focusing on the stability and reliability of AI/ML computing resources. You’ll collaborate closely with MLOps platform engineers, product managers, and data scientists to ensure our systems run smoothly. Your day-to-day tasks will involve building and maintaining complex computing environments that are vital for developing and deploying AI systems, addressing user needs, and resolving reliability concerns. Your collaborative spirit will shine as you partner with Central IT and Cybersecurity teams to implement on-premises and cloud deployments. If you have a robust technical background and a knack for strategic problem-solving, you’ll thrive in this fast-paced environment! At Lockheed Martin, we celebrate diversity and encourage innovative thinking to create incredible solutions. With our flexible work options and comprehensive benefits, this is an exciting opportunity for someone passionate about making a difference. Come be a part of the future with us as we transform industries and change lives through technology!

Frequently Asked Questions (FAQs) for AI Engineer Sr (Mid-Career) - Infrastructure & Platform Ops / Remote Role at Lockheed Martin
What skills are required for the AI Engineer Sr. position at Lockheed Martin?

For the AI Engineer Sr. position at Lockheed Martin, candidates are expected to have experience with Kubernetes, Linux distributions, and familiarity with various IT principles like Networking and Security. Proficiency in programming and scripting languages like Python, Go, and Bash is also important. A solid understanding of AI and machine learning systems, combined with strong communication skills, will help you excel in this role.

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What responsibilities does an AI Engineer Sr. at Lockheed Martin have?

As an AI Engineer Sr. at Lockheed Martin, your primary responsibilities will include building and maintaining computing environments for AI systems, addressing system reliability, collaborating with cross-functional teams, and ensuring the successful deployment of AI/ML solutions. You'll also engage with vendors to advocate for your team's requirements, ensuring the resources are aligned with organizational goals.

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What does the work culture look like for an AI Engineer at Lockheed Martin?

Lockheed Martin fosters an inclusive and collaborative work culture for its AI Engineers. You will be part of a diverse team committed to innovation and excellence. The organization encourages the sharing of ideas and seeks to leverage the unique perspectives of its employees to tackle complex challenges in technology and security.

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Can you describe the benefits package at Lockheed Martin for AI Engineer Sr. positions?

Lockheed Martin provides a comprehensive benefits package for its AI Engineer Sr. positions, including medical, dental, vision insurance, and a 401(k) match. Employees also benefit from flexible spending accounts, education assistance, parental leave, and generous paid time off policies. This commitment to employee well-being is part of what makes Lockheed Martin a great place to work.

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Is the AI Engineer Sr. position at Lockheed Martin remote?

Yes, the AI Engineer Sr. position at Lockheed Martin offers a fully remote working opportunity. However, candidates must be U.S. citizens due to system access requirements. This flexibility enables employees to maintain a healthy work-life balance while contributing to impactful projects.

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Common Interview Questions for AI Engineer Sr (Mid-Career) - Infrastructure & Platform Ops / Remote
How do you handle troubleshooting system reliability issues as an AI Engineer?

When troubleshooting system reliability issues, I methodically analyze system logs and user reports to identify common patterns. Collaborating with team members is crucial to understanding multi-faceted problems, allowing me to implement robust solutions efficiently while ensuring minimal downtime.

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Can you discuss your experience with Kubernetes and open container initiatives?

I have hands-on experience with Kubernetes, specifically working with distributions like Openshift and Rancher. I actively engage with the Open Container Initiative principles to develop and manage reliable containerized applications, supporting a seamless development lifecycle from building to deployment.

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What strategies do you use to prioritize multiple projects?

I utilize a combination of project management tools and agile methodologies to effectively prioritize tasks. Setting clear milestones, understanding project dependencies, and maintaining open communication with stakeholders helps me manage multiple projects efficiently.

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Describe your familiarity with machine learning architectures.

I possess extensive knowledge of machine learning architectures, including GPU computing and high-performance computing (HPC) systems. I focus on optimizing workflows to ensure scalability and performance for AI applications across different environments.

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What is your approach to collaborating with cross-functional teams?

I believe in maintaining transparent communication and establishing common goals with cross-functional teams. Regular check-ins and collaborative tools, such as Slack and Confluence, enable us to stay aligned and address any challenges promptly.

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How do you ensure security in your AI/ML deployments?

I ensure security in AI/ML deployments by adhering to best practices for container security, such as integrating tools like Sysdig Secure and continuous monitoring for vulnerabilities. Collaborating with the cybersecurity team to regularly audit and refine security protocols is also crucial.

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What tools do you use for infrastructure automation?

I leverage tools like Ansible and Terraform for infrastructure automation. These tools enable me to automate deployment processes, manage scalability, and maintain consistent configurations across environments.

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Can you explain why collaboration with vendors is important for this role?

Collaboration with vendors is crucial as it allows AI Engineers to advocate effectively for the organization's specific needs, ensuring that we have access to the latest tools and technologies that facilitate our AI initiatives.

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What experience do you have with monitoring and performance tools?

I have used tools like Prometheus and Grafana to monitor system performance and visualize metrics. This experience allows me to proactively identify potential issues and optimize system performance.

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How do you measure the success of AI/ML implementations?

I measure the success of AI/ML implementations through key performance indicators (KPIs), which include system reliability, task completion rates, and feedback from end-users. Continuous improvement is essential, so I use these metrics to refine and optimize our AI solutions.

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We solve complex challenges, advance scientific discovery and deliver innovative solutions to help our customers keep people safe.

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Full-time, remote
DATE POSTED
December 12, 2024

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