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.

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Location Woodland Hills CA Mason OH onsite Role

• Architect and Design Lead the design of scalable secure and high performance AI ML systems leveraging Agentic Layer A2A frameworks and MCP Protocols
• Solution Engineering Drive end to end solution development including vector embeddings prompt engineering and context engineering for enterprise grade GenAI applications
• Cloud Deployment Architect and oversee deployment of AI ML workloads on Azure Cloud ensuring compliance scalability and cost optimization
• Data Architecture Design and optimize data pipelines and storage solutions using Azure AI Search Redis Cosmos DB Blob Storage and Iceberg
• Application Development Build and manage Azure Functions and Azure Container Apps for microservices based AI solutions
• Performance and Scalability Define cloud native architecture patterns implement performance tuning and ensure resilience across distributed systems
• Domain Expertise Apply deep knowledge of healthcare domain requirements ensuring solutions meet regulatory standards HIPAA GDPR and handle sensitive data securely
• Technical Leadership Mentor engineering teams establish best practices and conduct design code reviews
• Innovation and Research Stay ahead of emerging GenAI LLM NLM trends and integrate cutting edge approaches into enterprise solutions

• Agentic Layer and Protocols Hands on expertise with Agentic Layer A2A frameworks and MCP Protocol for multi agent orchestration
• AI ML Engineering Strong background in vector embeddings prompt engineering context engineering and fine tuning LLMs
• GenAI and LLM Concepts Deep understanding of Generative AI Natural Language Models NLM and Large Language Models LLM
• Programming Advanced proficiency in Python exposure to Java Go is a plus
• Cloud Proficiency Strong experience with Azure Cloud services including deployment monitoring and scaling
• Databases Expertise in Azure AI Search Redis Cosmos DB familiarity with Blob Storage and Iceberg is advantageous
• Cloud Native Architecture Solid grasp of microservices containerization serverless computing scalability and performance optimization
• Healthcare Domain Experience working with regulated data environments and compliance frameworks

Ability to design and implement multi agent AI systems

Experience in LLM fine tuning embeddings and context engineering

Expertise in coding proficiency with production grade systems in Python

Ability to define enterprise level AI ML architecture aligned with cloud native principles

Experience in scalability resilience and performance optimization

Hands on deployment of AI workloads on Azure Cloud

Strong knowledge of databases search systems and distributed storage

Familiarity with healthcare regulations and ability to design compliant solutions

Experience mentoring engineers conducting reviews and driving technical excellence

Ability to collaborate with cross functional teams including product compliance and operations

Evidence of staying current with GenAI advancements and applying them to real world problems

• Bachelors or masters in computer science AI ML or related field
• Certifications in Azure Solutions Architect or AI Engineering
• Publications patents or contributions to open source AI ML projects

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…