AI Engineer - Player Intelligence and Growth, Data & Insights (D&I)

Electronic Arts (EA); Vancouver; On-site; CAD 119,600 - 167,300; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits package

Paid parental leave

Vacation (3 weeks per year)

Job summary

A leading gaming company in Vancouver is hiring an AI Engineer to join the Player Intelligence & Growth team. This hybrid role requires expertise in AI/ML, with a strong focus on Generative AI solutions. Candidates should have a graduate degree in a quantitative field and 4+ years of experience in AI/ML-driven systems. Key responsibilities include developing AI products with game teams and enhancing analytics tools using cloud technologies. The role offers competitive pay and substantial benefits.

Qualifications

• 4+ years of experience building AI, ML, or data-driven systems.
• Experience with LLMs, embeddings, and retrieval systems.
• Familiarity with CI/CD and microservices.

Responsibilities

• Work with game teams to create AI products.
• Develop plans to generalize AI products across titles.
• Implement features using GCP services and internal tech stack.

Skills

AI/ML expertise

Data-driven systems

Python

SQL

Cloud technologies

Education

Graduate degree in Computer Science or related field

Tools

GCP

AWS

Kubernetes

Apache Kafka

Job description

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

We are hiring an AI Engineer to join the Player Intelligence & Growth team within Data and Insights (D&I), reporting to a Sr Manager. This team partners with all of EA's game studios to offer data science & AI products and solutions. For this AI Engineer role we are looking for applied and practical AI/ML expertise with a focus on Gen AI Solutions. You will help scale our internal AI-powered insights tool by partnering with analysts, product teams, marketing, and titles like EA SPORTS FC™, Apex Legends™, The Sims™, and Madden NFL.

We\u2019re looking for a hands-on engineer with practical experience building AI/ML-driven systems, evaluating emerging tools, and delivering impactful, reusable solutions across multiple domains.

Responsibilities

• Work directly with game teams/partners (internal clients) to understand their offerings/domain and create AI products and solutions to solve for their use cases.
• Focus on problem-driven approaches, applying pragmatic solutions to game team opportunities and decisions.
• Develop plans to generalize AI products across titles.
• Review AI tools used within the team, providing guidance and being accountable for the success and the adoption of the project/product.
• Communicate AI & data science projects and products to partners.
• Ensure your engineering approach, evaluation methods, and AI experiments produce reliable, meaningful outcomes.
• Implement feature enhancements for our AI-powered analytics tool using GCP services, LLMs, and our internal tech stack.
• Engage with other Data Scientists, Data Analysts sharing best practices and help consult on cross-projects.
• Design, improve and work with our data pipeline that transfers and processes petabytes of data using tools, such as: AWS, S3, Kubernetes, GCP, Python, Apache Kafka, Ruby & Hive.
• Use your computer science & AI knowledge to build pipelines for new capabilities using Gen AI.

Required Qualifications

• Graduate degree in Computer Science, Engineering, AI/ML, or a related quantitative field encouraged.
• 4+ years of experience building AI, ML, or data-driven systems in production environments.
• Proficiency with Python, SQL, and cloud technologies (preferably GCP).
• Experience working with LLMs, embeddings, retrieval systems, or AI agents.
• Familiarity with CI/CD, microservices, and cloud-native deployment patterns.
• Experience working with cross-functional teams to translate partner needs into scalable technical solutions.
• Experience working with large datasets and modern data engineering tools.
• Interest in games is a big plus.

This is a hybrid position

• Pay Transparency - North America

Pay Ranges

• British Columbia (depending on location e.g. Vancouver vs. Victoria) *$119,600 - $167,300 CAD

Pay is just one part of the overall compensation at EA.

For British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.

About Electronic Arts

We\u2019re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.