Operations AI Engineer Staff- Level 4

Standard Job Description

What You Will Be Doing

As the Operations AI Engineer Staff- Level 4 you will be responsible for leading exploratory research and analysis to uncover novel data patterns, applying statistical methods to validate hypotheses, and delivering business‑impacting insights.

Your responsibilities will include:

• Design and execute exploratory data analysis using advanced statistical and machine learning techniques.
• Develop, validate, and operationalize predictive models and algorithms that solve complex business problems.
• Interpret model results, create actionable visualizations, and communicate recommendations to stakeholders.
• Utilize high‑performance computing resources (GPU, distributed, cloud) to scale AI solutions.
• Lead cross‑functional teams to integrate scalable AI solutions into production workflows.

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 dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.

Who You Are

You are a collaborative problem‑solver with deep expertise in applied statistics, machine learning, and data visualization. You thrive in fast‑moving environments, enjoy turning complex data into clear business value, and lead by example in delivering high‑impact AI solutions.

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.

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.

Basic Qualifications

• 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
• Ability to translate complex operational requirements into scalable AI architectures.
• Experience with scalable cloud infrastructure (example AWS and Azure) and containerization management (example Kubernetes).
• Experience in leading software development teams

Desired Skills

• 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
• Experience with data‑governance frameworks, metadata management, and data catalog tools.
• Experience with aircraft manufacturing processes
• Strong organization and communication skills
• Demonstrated ability to develop and maintain detailed project plans, schedules, and risk mitigation strategies.
• Proven ability to deliver measurable efficiency or productivity improvements (e.g., reduced cycle time, increased throughput) through AI solutions.
• 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 negotiate scope, timelines, and resources with stakeholders and customers.