Software Engineer – AI Automation

Electronic Arts

Hybrid

Quick summary

Work type: Hybrid
Location: Redwood City, CAVancouver, CanadaToronto, Ontario, CanadaEdmonton, Alberta, Canada
Salary: $122,300–$170,700 / yr
Posted: 16 days ago
Nearby: 88 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $177k

This role $146k

$111k most similar roles pay here $231k

This role pays less than 69% of similar roles. Most pay $142,400–$211,200 — the shaded band above. At the midpoint, this role pays about $146k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About Electronic Arts

Electronic Arts is a global leader in digital interactive entertainment, developing and publishing games for consoles, mobile, and PC under franchises including FIFA, Madden NFL, The Sims, Apex Legends, and Battlefield.

Electronic Arts currently has 127 open roles on FindRole.

Listed pay typically runs $122,300–$170,700 across 76 roles with salary data.

Most-posted roles

View all roles at Electronic Arts

At a glance

TL;DR · Software Engineer – AI Automation

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Electronic Arts is hiring a Software Engineer to join their AI Automation team in Toronto or Edmonton, Canada. This role involves developing and extending the CDP Copilot platform, which uses AI to automate workflows across Quality Verification, Localization, and Content Creation for EA’s game experiences. The engineer will design and build foundational systems, APIs, and integrations, collaborate with stakeholders to identify pain points and deliver intuitive solutions, and work closely with Central Technology teams to ensure seamless integration of copilots into existing workflows. Required skills include strong programming in Python, Java, or C#, experience with databases and APIs, familiarity with NLP, and a focus on system design and architectural thinking.

Skills

Python Java C# AWS Kubernetes Terraform Docker CI/CD PostgreSQL MongoDB APIs NLP LLMs RAML Swagger GraphQL REST UI design UX design Git Jenkins Prometheus Grafana

What you'll do

Design and implement core platform components including cloud infrastructure, orchestration, and data pipelines.
Develop APIs, SDKs, and UI components for efficient copilot creation across different functions.
Integrate large language models (LLMs) and fine-tuned AI models into production systems.
Work with stakeholders to identify pain points and deliver intuitive solutions that enhance user workflows.
Implement best practices for model routing, performance tracing, safety guardrails, and governance.

What we're looking for

Bachelor’s Degree in Computer Science, Software Engineering, or related field with 5+ years of experience.
Strong programming skills in Python, Java, or C# and understanding of AI principles.
Experience integrating databases and APIs with third-party systems.
Familiarity with Natural Language Processing (NLP) methods and text parsing techniques.
Ability to design scalable system architectures focusing on reusability and modularity.
Excellent communication and problem-solving skills for gathering user feedback and balancing technical implementation with user experience.

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