APPLICATION ARCHITECT L1

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at DescriptionLocation Woodland Hills CA Mason OH onsite RoleKey ResponsibilitiesArchitect and Design Lead the design of scalable secure and high performance AI ML systems leveraging Agentic Layer A2A frameworks and MCP ProtocolsSolution Engineering Drive end to end solution development including vector embeddings prompt engineering and context engineering for enterprise grade GenAI applicationsCloud Deployment Architect and oversee deployment of AI ML workloads on Azure Cloud ensuring compliance scalability and cost optimizationData Architecture Design and optimize data pipelines and storage solutions using Azure AI Search Redis Cosmos DB Blob Storage and IcebergApplication Development Build and manage Azure Functions and Azure Container Apps for microservices based AI solutionsPerformance and Scalability Define cloud native architecture patterns implement performance tuning and ensure resilience across distributed systemsDomain Expertise Apply deep knowledge of healthcare domain requirements ensuring solutions meet regulatory standards HIPAA GDPR and handle sensitive data securelyTechnical Leadership Mentor engineering teams establish best practices and conduct design code reviewsInnovation and Research Stay ahead of emerging GenAI LLM NLM trends and integrate cutting edge approaches into enterprise solutionsRequired Skills and ExpertiseAgentic Layer and Protocols Hands on expertise with Agentic Layer A2A frameworks and MCP Protocol for multi agent orchestrationAI ML Engineering Strong background in vector embeddings prompt engineering context engineering and fine tuning LLMsGenAI and LLM Concepts Deep understanding of Generative AI Natural Language Models NLM and Large Language Models LLMProgramming Advanced proficiency in Python exposure to Java Go is a plusCloud Proficiency Strong experience with Azure Cloud services including deployment monitoring and scalingDatabases Expertise in Azure AI Search Redis Cosmos DB familiarity with Blob Storage and Iceberg is advantageousCloud Native Architecture Solid grasp of microservices containerization serverless computing scalability and performance optimizationHealthcare Domain Experience working with regulated data environments and compliance frameworksEvaluation Criteria Critical Components1 Technical DepthAbility to design and implement multi agent AI systemsExperience in LLM fine tuning embeddings and context engineeringExpertise in coding proficiency with production grade systems in Python2 Architectural VisionAbility to define enterprise level AI ML architecture aligned with cloud native principlesExperience in scalability resilience and performance optimization3 Cloud and Data ExpertiseHands on deployment of AI workloads on Azure CloudStrong knowledge of databases search systems and distributed storage4 Domain KnowledgeFamiliarity with healthcare regulations and ability to design compliant solutions5 Leadership and CollaborationExperience mentoring engineers conducting reviews and driving technical excellenceAbility to collaborate with cross functional teams including product compliance and operations6 Innovation and Research OrientationEvidence of staying current with GenAI advancements and applying them to real world problemsPreferred QualificationsBachelors or masters in computer science AI ML or related fieldCertifications in Azure Solutions Architect or AI EngineeringPublications patents or contributions to open source AI ML projectsMandatory Skills: Agentic AI. Experience: 8-10 Years.The expected compensation for this role ranges from $80,000 to $173,800 . Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options. Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law. Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.