Design, develop, and deploy AI and machine learning models, scalable data pipelines, training workflows, model-serving systems, and AI agents. Build NLP, computer vision, and autonomous-agent solutions while ensuring system reliability, monitoring, logging, performance, and scalability. Collaborate with data scientists, engineers, and product managers to deliver AI-powered features, roadmaps, integrations, and technical documentation.
Job Description
We are seeking an AI Engineer to join our team of innovators and technologists. As an AI Engineer, you will be responsible for designing, developing, and deploying artificial intelligence and machine learning models to drive business growth and improve customer experiences. You will work closely with cross-functional teams to identify opportunities for AI adoption, develop and implement AI solutions, and ensure seamless integration with existing systems. A key focus of this role will be on designing and implementing the infrastructure required to support AI systems, including data pipelines, model training, and model serving. Additionally, you will be responsible for developing and deploying AI agents that can interact with users, systems, and other agents to achieve business goals.
Key Responsibilities:
Required Education, Experience, & Skills
Pay Information
Full-Time Salary Range: $79365 - $134921
Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.
Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.
About BAE Systems, Inc.
BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it's what we do at BAE Systems. Working here means using your passion and ingenuity where it counts - defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team-making a big impact on a global scale. At BAE Systems, you'll find a rewarding career that truly makes a difference.
This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.
We are seeking an AI Engineer to join our team of innovators and technologists. As an AI Engineer, you will be responsible for designing, developing, and deploying artificial intelligence and machine learning models to drive business growth and improve customer experiences. You will work closely with cross-functional teams to identify opportunities for AI adoption, develop and implement AI solutions, and ensure seamless integration with existing systems. A key focus of this role will be on designing and implementing the infrastructure required to support AI systems, including data pipelines, model training, and model serving. Additionally, you will be responsible for developing and deploying AI agents that can interact with users, systems, and other agents to achieve business goals.
Key Responsibilities:
- Design, develop, and deploy AI and machine learning models using various tools and technologies such as Python, TensorFlow, PyTorch, and scikit-learn
- Collaborate with data scientists and engineers to identify business problems and develop AI-powered solutions
- Develop and maintain large-scale AI systems, including:
+ Data pipelines: design and implement data architectures that support AI and machine learning workflows, including data ingestion, processing, and storage
+ Model training: develop and implement model training pipelines that can handle large datasets and complex models
+ Model serving: develop and implement model serving systems that can handle high-volume traffic and low-latency requirements - Design and implement AI agent architectures that can interact with users, systems, and other agents to achieve business goals, including:
- Natural Language Processing (NLP) agents that can understand and respond to user input
- Computer Vision agents that can analyze and respond to visual data
- Autonomous agents that can make decisions and take actions without human intervention - Ensure the scalability, reliability, and performance of AI systems, including:
- Monitoring: develop and implement monitoring systems that can track AI system performance and detect anomalies
- Logging: develop and implement logging systems that can track AI system activity and provide insights for debugging and optimization
- Debugging: develop and implement debugging tools and techniques that can help identify and resolve issues with AI systems - Collaborate with product managers to develop AI-powered product features and roadmaps
- Stay up-to-date with the latest advancements in AI and machine learning, and apply this knowledge to improve existing systems and develop new ones
- Develop and maintain technical documentation for AI systems, including architecture diagrams, data flow diagrams, and model explanations
Required Education, Experience, & Skills
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field or equivalent combination of experince and education
- 2+ years of experience in AI and machine learning, including hands-on experience with deep learning frameworks such as TensorFlow or PyTorch
- Strong programming skills in languages such as Python, Java, or C++
- Experience with cloud-based AI platforms such as AWS SageMaker, or Azure Machine Learning
- Strong understanding of computer vision, natural language processing, or other AI applications
- Experience with agile development methodologies and version control systems such as Git
Pay Information
Full-Time Salary Range: $79365 - $134921
Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.
Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.
About BAE Systems, Inc.
BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it's what we do at BAE Systems. Working here means using your passion and ingenuity where it counts - defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team-making a big impact on a global scale. At BAE Systems, you'll find a rewarding career that truly makes a difference.
This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.
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What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

