Senior Artificial Intelligence (AI) Engineer

About the Role

The Senior Artificial Intelligence Engineer at Lockheed Martin will be responsible for developing foundational technologies for training and deploying proprietary AI models. This role involves collaborating with cross-functional teams to ensure AI solutions meet technical and business requirements while also monitoring model performance and implementing continuous-learning pipelines.

What You'll Do

This position is part of the Rotary and Mission Systems business area, where employees across Canada support engineering, systems integration, training, sustainment and in-service support programs for Canadian and international military customers across land, air and sea.

The Artificial Intelligence Engineer is a senior member of Lockheed Martin Canada’s AI and Machine Learning team and report directly to the AI/ML Program Lead. Their primary responsibility will be to develop the foundational technologies and approaches for training and deploying proprietary AI models that underpin our flagship products. This includes designing and building robust data pipelines, selecting and tuning machine‑learning algorithms, and creating scalable model‑deployment workflows that integrate seamlessly with existing software stacks.

The role requires a minimum of two days per week in the office to collaborate with cross‑matrix stakeholders such as data scientists, software architects and DevOps engineers, ensuring that AI solutions meet both technical and business requirements. The engineer will also take on stretch assignments that extend our business growth across multiple departments, such as supporting Internal Research and Development, establishing best‑practices and guidelines for all users, and contributing to process and tooling improvements in supporting enterprise excellence.

In addition to core development work, the candidate will be expected to monitor model performance in production, implement continuous‑learning pipelines, and provide technical guidance to team members.

Who You Are

Required skills, qualifications and experience:

• Possess a Bachelor’s degree from an accredited university in computer science, software engineering, mathematics, electrical or a related engineering field.
• 3-5 years of relevant AI/ML professional experience.
• Experience creating AI/ML Models with Python.
• Experience using applied mathematics and statistical analysis within Python, i.e. Backwards Propagation, Activation functions, and Cost function optimization.
• Experience with applying data science methodologies i.e. Feature Extraction, Synthetic Data Generation, and Feature Space Reduction.
• Expert knowledge of machine learning models, including Neural Network Architectures (Recurrent and Convolution Neural Networks), Support Vector Machines, trees, regression, etc.
• Ability to define and apply novel and creative solutions to complex AI/ML problems.
• Experience with developing end-to-end MLOps pipelines which includes model training, testing, validation, data collection and processing.
• Ability to effectively communicate complex ideas and solutions and issues to both technical and non-technical audiences.
• Ability to work independently as well as effectively develop collaborate projects within direct and cross-functional teams.
• Ability to adapt and perform in a dynamic environment.
• Experience with converting real-world systems, behaviors, and decision factors into mathematical and machine learning models that support realistic simulation, and predictions.
• Ability to design and assess, measure AI model performance adhering to the scientific method.
• Aptitude and ability to conduct academic research to maintain state of the art awareness of artificial intelligences and related technologies.
• In-depth understanding of ML libraries, i.e. NumPy, Pandas, CUDA, and Pytorch.
• Adaptability to work in secure and restricted networks, i.e. no internet access, lack of access to some free and open source libraries.
• Eligible to obtain NATO Secret clearance in a timely manner.

Desired skills, qualifications and experience:

• Experience with air-gapped networks.
• Experience in defence industry.
• Knowledge of Rust, C++, Java programming language.
• Basic understanding of Kubernetes, software stacks, cloud computing.
• Experience with git and git operations.
• Experience with generative AI tools in code development.