Operations AI Engineer

About the Role

At Lockheed Martin, we keep people safe and solve the world's most complex challenges. This is where engineers, scientists, and problem-solvers engage deeply, think critically, and build with purpose. You will not just launch a career; you will 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 modelling and simulation) to achieve results.
• Work on datasets with applied statistics and machine learning algorithms.
• 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.

Desired Skills

• Familiarity with Large Language Models (LLMs) and/or Generative AI (GenAI)
• Familiarity with GenAI Coding Assistants
• Experience with agentic AI frameworks
• Understanding of agile development methodologies and version control systems (e.g., Git)
• Experience with data‑governance frameworks, metadata management, and data catalog tools.
• Experience with aircraft manufacturing processes

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, AI/ML or related field.
• Must be a U.S. Citizen - This position is located at a facility that requires special access. The selected candidate must be able to obtain a secret clearance.

Compensation and Benefits

• Full-Time Salary Range: $67,000.00 - $124,400.00
• Total Rewards program designed to attract top talent, support well-being, and foster growth.
• Benefits offered: 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, and Long-Term Disability.
• Annual short-term and/or long-term incentive compensation programs may be offered, not guaranteed, and tied to performance metrics.
• For Washington state applicants only: Specific Paid Time Off (PTO), holiday hours, Vacation, and Sick Leave accruals apply for non-represented and represented employees.