Role: Application Architect with Generative AI
Location: Austin, TX - Hybrid Mode
Full Time with LTIMindtree
We are seeking an Application Architect with Generative AI expertise to design and guide the implementation of advanced AI driven applications and platforms across client. 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 client's ecosystem You'll ensure solutions align with clients 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 clients 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