What You Will Be Doing
As the Operations AI Engineer Senior - Level 3 you will be responsible for leading exploratory research and analysis that identifies novel patterns in complex data, applying statistical methods to validate hypotheses, and delivering business‑focused insights.
Your responsibilities will include:
- Conduct exploratory data analysis to uncover patterns and trends in large data sets.
- Develop and validate predictive models using advanced statistical, deep‑learning, and optimization techniques.
- Design and implement high‑performance computing solutions (GPU, distributed, cloud) to accelerate processing.
- Translate model insights into actionable recommendations with clear visualizations for stakeholders.
- Collaborate with cross‑functional teams to integrate analytics into business decision‑making.
What’s In It For You
We are committed to supporting your work‑life balance and overall well‑being, offering flexible scheduling options. 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 pursue challenging work, work hard, and have fun doing what you love then we want to build a better tomorrow with you.
Who You Are
A collaborative professional with deep expertise in applied statistics, machine learning, and high‑performance computing. You thrive on turning complex data into actionable business value, enjoy mentoring teammates, and seek continuous growth in cutting‑edge AI research.
Further Information About This Opportunity
- 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.
- This position is in Fort Worth, TX. Discover Fort Worth
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. Uses 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. 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; 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
- Bachelor's degree in Computer Science, Engineering, AI/ML or related field
- Proficiency in Python and foundational machine learning concepts, with the ability to independently develop, train, and evaluate models
- Experience in developing, training, and deploying deep learning models using machine learning frameworks like TensorFlow and PyTorch.
- Demonstrated expertise in statistical modeling, hypothesis testing, and performance validation of AI models
- Experience with large dataset management
- Experience with and maintaining CI/CD pipelines
- Ability to translate complex operational requirements into scalable AI architectures
- Master's degree in Computer Science, Engineering, AI/ML or related field
- Familiarity with Large Language Models (LLMs) and/or Generative AI (GenAI)
- Familiarity with GenAI Coding Assistants
- Experience with agentic AI frameworks
- Experience in API Development & Integration
- knowledge of cloud platforms (AWS, Azure, GCP) and container orchestration (Docker,Kubernetes).
- Experience with data‑governance frameworks, metadata management, and data catalog tools.
- Experience with aircraft manufacturing processes
- Strong organization and communication skills
Pay Information
Full-Time Salary Range: $98100.00 - $182100.00
At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally.
The salary range for this position is as listed on the requisition. Please note that the salary information listed 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(work location) and business considerations when extending an offer.
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 depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
- For (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.
Skills Required
- U.S. citizenship
- Ability to obtain a Secret security clearance
- Bachelor's degree in Computer Science, Engineering, AI/ML, or a related field
- Proficiency in Python and foundational machine learning concepts
- Ability to independently develop, train, and evaluate machine learning models
- Experience developing, training, and deploying deep-learning models with TensorFlow and PyTorch
- Expertise in statistical modeling, hypothesis testing, and AI model performance validation
- Experience managing large datasets
- Experience developing and maintaining CI/CD pipelines
- Ability to translate operational requirements into scalable AI architectures
- Master's degree in Computer Science, Engineering, AI/ML, or a related field
- Familiarity with large language models or generative AI
- Familiarity with generative AI coding assistants
- Experience with agentic AI frameworks
- Experience with API development and integration
- Knowledge of AWS, Azure, or GCP and Docker or Kubernetes
- Experience with data governance frameworks, metadata management, and data catalog tools
- Experience with aircraft manufacturing processes
- Strong organization and communication skills
Lockheed Martin Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lockheed Martin and has not been reviewed or approved by Lockheed Martin.
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Retirement Support — Retirement benefits are described as a standout element, with a strong 401(k) program and options like an employee stock purchase plan. Feedback suggests these features meaningfully enhance total compensation and long‑term financial security.
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Healthcare Strength — Healthcare coverage is portrayed as comprehensive from day one, with multiple plan options, mental health resources, and virtual care. Wellness supports such as on‑site services and preventive programs are also highlighted.
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Flexible Benefits — Work arrangements often include compressed schedules and telework, contributing to a favorable work‑life balance. Feedback suggests this flexibility is a key reason many view the overall package positively.
Lockheed Martin Insights
What We Do
Customer Focus, Innovation and Purpose are Built Into Everything We Do. Lockheed Martin. Your Mission is Ours ™. Headquartered in Bethesda, Maryland, Lockheed Martin is a global security and aerospace company principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services.
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