Application Architect with Generative AI

Application Architect with Generative AI

Location - Austin, TX - Hybrid

Contract

Skills : Generative AI, Python, Cloud, AIML, Nodejs, Java

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

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 EAs ecosystem Youll ensure solutions align with EAs 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 AIenabled applications

Guide application modernization initiatives integrating cloudnative and AInative approaches

Ensure solutions comply with enterprise security data privacy and responsible AI principles

Collaborate with enterprise architects to align AIdriven applications with EAs broader technology strategy

Provide thought leadership and mentorship in GenAI adoption best practices and emerging tools

Evaluate new AIML technologies frameworks and vendors advising on build vs buy decisions

Qualifications

8 years of experience in application software architecture with a strong record of designing enterprise scale solutions

Good knowledge of Generative AI technologies eg LLMs RAG vector databases prompt engineering

Strong background in cloud platforms AWS Azure or GCP and microservices architecture

Proficiency in modern programming languages Python Nodejs 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 CICD pipelines for AIdriven applications

Experience integrating GenAI solutions into employee or playerfacing platforms