Application Architect with Generative AI || Austin, TX(Hybrid 3 Days - Locals only) || Must have linkedin and 15+ years of exp.||

Role Overview

We are seeking an Application Architect with Generative AI expertise to design and guide the implementation of advanced AI-driven applications and platforms across EA. This role bridges enterprise architecture, software engineering, and AI innovation ensuring our solutions are scalable, secure, and player- or employee-focused.

As an Application Architect, you will work closely with product, engineering, data science, and infrastructure teams to design application architectures that integrate LLMs, RAG pipelines, and other GenAI technologies into EA s ecosystem. You ll ensure solutions align with EA s global technology strategy while enabling experimentation and rapid innovation.

Responsibilities

• Architect scalable, secure, and high-performing applications that incorporate Generative AI technologies.
• Partner with engineering, data, and product teams to translate business and creative needs into technical architectures.
• Define standards, patterns, and reference architectures for AI-enabled applications.
• Guide application modernization initiatives, integrating cloud-native and AI-native approaches.
• Ensure solutions comply with enterprise security, data privacy, and responsible AI principles.
• Collaborate with enterprise architects to align AI-driven applications with EA s broader technology strategy.
• Provide thought leadership and mentorship in GenAI adoption, best practices, and emerging tools.
• Evaluate new AI/ML technologies, frameworks, and vendors, advising on build vs. buy decisions.

Qualifications

• 12+ years of experience in application/software architecture, with a strong record of designing enterprise-scale solutions.
• Good knowledge of Generative AI technologies (e.g., LLMs, RAG, vector databases, prompt engineering).
• Strong background in cloud platforms (AWS, Azure, or Google Cloud Platform) and microservices architecture.
• Proficiency in modern programming languages (Python, Node.js, Java, or similar).
• Familiarity with MLOps and AI integration patterns (model deployment, inference optimization, monitoring).
• Strong understanding of enterprise security, compliance, and governance requirements.
• Excellent communication skills, able to influence technical and business stakeholders alike.

Bonus Points

• Experience in gaming, media, or interactive entertainment industries.
• Knowledge of AI orchestration frameworks (LangChain, Semantic Kernel, etc.) and workflow automation.
• Familiarity with DevSecOps and CI/CD pipelines for AI-driven applications.
• Experience integrating GenAI solutions into employee- or player-facing platforms.

Thanks,

KK