Gamekit AI Solutions Engineer

Description & Requirements

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

Position Type : Temporary Full-Time

Experience Level : 8+ years of professional systems software engineering experience

About The Team

GameKit Operations (GKO) powers EA's game creation ecosystem through scalable services and thoughtful automation. The GameKit Assistant (GKA) is an AI-driven platform supporting developers and artists across internal tools like Shift, Jukebox, and Perforce, and commercial tools like Jira, GitLab, and Artifactory.

GKA is evolving from a documentation-based chatbot into a Python-powered, context-aware operations assistant delivering real-time insights and automation. We are looking for an engineer with deep Python expertise, systems design experience connecting AI with production systems.

Role Overview

The AI Solutions Engineer will design and implement intelligent integrations that allow GKA to work with both internal and external platforms. You will build Python services, develop orchestration logic through the Model Context Protocol (MCP) , and implement automation pipelines that enhance the assistant's ability to provide contextual, data-driven answers. You will be reporting to the Manager, Game Creation Ops.

Responsibilities

• Build scalable Python backend services using FastAPI, Flask, or Django REST Framework.
• Design secure API integrations using OpenAPI / Swagger and OAuth2 / JWT standards.
• You will develop MLOps pipelines for model deployment, monitoring, and evaluation using Kubeflow, MLflow, SageMaker, and Terraform.
• Implement and maintain retrieval-augmented generation (RAG) systems with vector databases such as Azure Cognitive Search or Pinecone.
• Build MCP wrappers for GameKit products and prototype integrations with commercial MCPs (GitLab, Jira, Confluence).
• Deploy and monitor services using Kubernetes, Docker, and ArgoCD, with observability through Grafana and Prometheus.
• Apply systems engineering principles to design integrations that are modular, observable, and compliant with EA security policies.
• You will partner with AI, Ops, and Product Engineering teams to define schemas, error models, and testing standards.

Qualifications

Who You Are : A systems-minded Python engineer who enjoys solving complex integration challenges, building reliable automation pipelines, and enabling AI systems to operate seamlessly across platforms.

About Electronic Arts

We're 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.

Skills Required

Oauth2, Prometheus, Jwt, Django Rest Framework, Grafana, Tensorflow, Pytorch, Terraform, Docker, Swagger, Flask, FastAPI, Python, Kubernetes