Electronic Arts

Senior Director, Generative AI Software Engineering

Position Overview

We are looking for a Senior Director, Generative AI Engineering with a strong background in cloud computing, full-stack application development, and large-scale software architecture. This role demands expertise in enterprise software engineering, a deep understanding of Generative AI technologies, and a proven ability to lead high-performing, globally distributed engineering teams.

The ideal candidate is a seasoned software engineering leader with experience in cloud-native architectures, DevOps, CI/CD, and security best practices. While prior GenAI experience is a plus, the primary focus is on building scalable, high-performance applications that integrate heterogeneous data sources and modern GenAI models.

This position is open to experienced software engineering leaders who have a passion for GenAI-driven applications and a track record of delivering complex enterprise solutions. The candidate will play a pivotal role in advancing EA’s AI Technologies Team, contributing to an enterprise AI ecosystem providing tools, services, and platforms for AI-powered applications. These technologies power AI-driven assistants and enterprise AI services across EA’s corporate and studio teams.

This team operates like a startup within the company, requiring agility, rapid iteration, and the ability to collaborate seamlessly across diverse teams and time zones. The ideal candidate thrives in ambiguity, is comfortable working across non-traditional swim lanes, and is adept at coordinating globally distributed, virtual teams. This role reports to the Head of AI Technologies and will partner closely with the Senior Director of Product Management for Generative AI Solutions to align engineering efforts with product strategy.

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Key Responsibilities

•    AI Product & Platform Development – Lead the design and execution of GenAI-driven applications, including AI-powered assistants, automation agents, and enterprise AI solutions within an enterprise AI ecosystem.

•    Generative AI Strategy & Evangelism – Serve as a thought leader and advocate for Generative AI adoption across EA, driving AI awareness, best practices, and company-wide AI literacy initiatives.

•    Technical Leadership – Define and execute engineering strategy for scalable, production-ready AI applications, ensuring seamless integration with EA’s existing tech stack.

•    AI & Emerging Technologies – Drive innovation by identifying and integrating cutting-edge AI technologies, ensuring EA remains at the forefront of AI-powered enterprise solutions.

•    Cross-Functional AI Collaboration – Partner with product teams, IT, UX, and business leaders to identify high-impact AI use cases and drive adoption across EA’s corporate and studio teams.

•    Collaboration with Product Management – Work closely with the Senior Director of Product Management for Generative AI Solutions to ensure alignment between engineering execution and product strategy.

•    Agile & Startup Mentality – Operate with an entrepreneurial mindset, adapting to ambiguity, quickly iterating on AI solutions, and collaborating with diverse teams to scale impactful AI products.

•    Cloud AI Infrastructure & Platform Services – Architect and optimize cloud-based AI model deployment, ensuring scalability, security, and cost efficiency in AWS, Azure, or Google Cloud environments.

•    Software Engineering Excellence – Champion best practices in MLOps, DevOps, and CI/CD automation, ensuring reliable and scalable deployment of AI-powered applications.

•    AI Data Integration & Governance – Develop strategies for managing, securing, and optimizing data pipelines for AI applications, ensuring compliance with GDPR, SOC 2, and other enterprise security standards.

•    Global Team Management & AI Talent Development – Lead, mentor, and scale a high-performing team of AI engineers, data scientists, and software developers across multiple time zones and geographies, fostering a culture of AI innovation and technical excellence.

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Qualifications

•    Education – A degree in Computer Science, Software Engineering, or a related field is preferred, but equivalent experience will be considered.

•    Software Engineering Experience – 10+ years in software development, with at least 5 years in a leadership role delivering large-scale enterprise applications.

•    Cloud Computing Expertise – Deep experience with AWS, Azure, or Google Cloud, including infrastructure-as-code (Terraform, CloudFormation), microservices, serverless computing, and cloud security.

•    Full-Stack Development – Strong background in web and mobile application development, with expertise in:

o    Frontend: React, Angular, Vue.js, TypeScript

o    Backend: Python, Java, C#, Node.js, Golang

o    Databases & Messaging: PostgreSQL, MySQL, SQL Server, MongoDB, Redis, Kafka, RabbitMQ

o    DevOps & Automation: Kubernetes, Docker, Jenkins, GitHub Actions, CI/CD pipelines

•    Enterprise-Scale Systems – Experience architecting, deploying, and maintaining highly available, globally distributed applications supporting tens of thousands of users.

•    Security & Compliance – Knowledge of OAuth 2.0, JWT, OpenID Connect, encryption standards, and enterprise security frameworks.

•    AI Deployment Experience – Proven ability to deploy AI-powered applications in enterprise environments, particularly within AI-driven assistant platforms like digital assistants and automation frameworks for digital agents.

•    Industry Knowledge – Experience in industries such as finance, healthcare, SaaS, or gaming/media/entertainment, with high-security and compliance requirements.

•    Emerging AI Technologies & Research – Experience leading AI research initiatives, evaluating emerging AI technologies, and developing AI governance frameworks.

•    Team Leadership – Proven experience managing globally distributed engineering teams across multiple time zones, fostering innovation, and driving AI adoption at scale.

•    Agility & Communication – Exceptional communication and collaboration skills, with the ability to coordinate across diverse teams, break down silos, and drive alignment in a fast-paced, startup-like environment.