Gen AI Engineer/Architect

Gen AI Engineer Location: Austin, TX ( 3 Days a week) Role type: Long-term contract Job Description We are seeking an Application Architect with Generative AI expertise to design and guide the implementation of advanced AI-driven applications and platforms. 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 the ecosystem. You’ll ensure solutions align with 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 modernisation 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 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 • 8+ 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 GCP) 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.