LTIMindtree
Bellevue, WA
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Job Description :
v\:* {behavior:urldefault#VML);} o\:* {behavior:urldefault#VML);} w\:* {behavior:urldefault#VML);} .shape {behavior:urldefault#VML);} For Job Posting: 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
             

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