Operations AI Engineer

About the Role

At Lockheed Martin, we keep people safe and solve the world's most complex challenges. We are looking for engineers, scientists, and problem-solvers who are ready to engage deeply, think critically, and build with purpose. This is an opportunity to be part of something bigger.

Key Responsibilities

• Leverage and create AI solutions to transform aero operations by optimizing production, elevating quality, and enabling predictive modeling.
• Conduct exploratory research and statistical analysis to uncover meaningful patterns and latent predictive factors.
• Develop, test, and validate predictive models and algorithms using machine-learning, deep-learning, and optimization techniques.
• Design and implement scalable computing solutions (GPU, distributed, cloud) for large-scale data processing.
• Create clear visualizations and actionable recommendations that support decision-making.
• Collaborate with cross-functional teams to translate analytical insights into product and process improvements.
• Perform exploratory research and analysis to identify novel and meaningful patterns in data and uses statistical methods to reject or accept proposed hypotheses about relationships or latent predictive factors discovered through their work to provide business value.
• Use a combination of tools, technologies, and numerical computing systems (i.e.: GPU processing, distributed computing, highly parallel coding, cloud computing, machine learning, visualization, system modeling and simulation) to achieve results.
• Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets and discover opportunities in datasets to support decision-making.
• Develop predictive models and new algorithms to solve data / business problems.
• Understand the math and statistics behind the models and interpret, extrapolate, and prescribe from data to deliver actionable recommendations using effective visualizations.

Requirements & Tech Stack

• Python
• Foundational machine learning concepts
• Ability to develop, train, and evaluate models
• Developing, training, and deploying deep learning models using machine learning frameworks
• Areas of expertise should include several of the following: applied statistics, text mining, natural language processing, deep learning, optimization, and other similar fields.
• Work on datasets with applied statistics and machine learning algorithms
• Familiarity with Large Language Models (LLMs) and/or Generative AI (GenAI) (Desired)
• Familiarity with GenAI Coding Assistants (Desired)
• Experience with agentic AI frameworks (Desired)
• Understanding of agile development methodologies and version control systems (e.g., Git) (Desired)
• Experience with data-governance frameworks, metadata management, and data catalog tools (Desired)
• Experience with aircraft manufacturing processes (Desired)

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, AI/ML or related field.
• Collaborative engineer with strong expertise in applied statistics, machine learning, and data visualization.
• Thrives in fast-paced, global environments.
• Possesses excellent problem-solving skills.
• Able to communicate complex insights clearly to diverse stakeholders.
• MUST BE A U.S. CITIZEN
• The selected candidate must be able to obtain a secret clearance.

Compensation & Benefits

• Full-Time Salary Range: $75,400.00 - $140,000.00
• Medical, Dental, Vision
• Flexible work arrangements and schedules (e.g., 4x10)
• 401(k) match
• Paid time off
• Holidays
• Parental Leave
• EAP
• Flexible Spending Accounts
• Education Assistance
• Life Insurance
• Short-Term Disability
• Long-Term Disability
• Annual short-term and/or long-term incentive compensation programs may be offered.