GenAI and MLOps Platform User Support

Lockheed Martin•Fort Worth, CA

23h•Remote

About The Position

Join our team of innovators and play a key role in shaping the future of AI at Lockheed Martin. As a leader in the development of cutting-edge AI solutions, we are seeking a highly skilled and motivated individual to support users of AI Factory’s MLOps and GenAI Platforms. If you have a passion for partnering with AI/ML practitioners to solve complex problems and design unique solutions, we want to hear from you. The Support, Enablement, and Advocacy (SEA) team handles the day-to-day administration of central LM deployments of AI Factory’s platforms and aims to streamline user onboarding and adoption of AI technologies. This job is for you if you… enjoy working with a large and diverse group of people and find teaching and upskilling others rewarding thrive in a developing technology environment and can work with an expected level of uncertainty can apply systems engineering, root cause analysis, and engineering first principles to a wide variety of problems are passionate about how AI can be used creatively and responsibly to change the world desire a work environment where you are continuously experimenting and learning; where no two days are the same 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. Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you 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. #LMLAIC

Requirements

Bachelor’s Degree in Engineering, Computer Science, or other related discipline
Experience with Python, R, or similar programming languages
Experience troubleshooting technical issues for users or internal engineering platforms
Experience writing technical docs, tutorials, or enablement content and explaining AI/ML concepts to mixed-experience audiences
Experience working cross-functionally with product/platform teams
Must be a US Citizen

Nice To Haves

Experience building AI Agents and/or training and deploying ML models
Knowledge of GenAI fundamentals (LLMs, RAG, Agents) and ML Frameworks (PyTorch, TensorFlow, Sci-kit)
Ability to work with continuously and rapidly changing priorities and technologies
Compassion, empathy, and strong people skills
Experience using commercial GenAI or MLOps platforms
Demonstrated application of AI to business or mission applications
Personal practices for staying in tune with a rapidly evolving technology field
Experience with Programming and Scripting, such as C++, Java, Python, Go, Bash
Experience with DevSecOps, Cloud Native software development practices, and Kubernetes
Proven experience collaborating with virtual teams
Strong oral and written communication skills, and ability to collaborate with cross-functional partners
Creative and resourceful when it comes to problem-solving
A curious and can-do attitude. You are not afraid to try, learn, and improve
Self-motivated, self-directed, and the ability to thrive in a fast-paced environment in an industry that constantly changes
Empathy for teammates/users and a desire to make their work frictionless and more efficient
Passion for building things that are useful

Responsibilities

Support users at all levels of experience as they learn about AI and adopt the AI Factory platforms
Perform debugging and root cause analysis of reported bugs and outages
Curate and improve product documentation and best-practice examples
Manage platform administrative processes
Manage announcements and communications to users for platform outages and new features.
Beta-test new product features and partner with the Platform Development team to design features aligned to user behaviors and desires
Continuously learn and adapt new AI technologies into our own workflows to accelerate processes and develop content
Partner with the AI Training Team to demonstrate new product features to early-adopter audiences and curate AI-upskilling materials for the corporation