Job Title: APPLICATION ARCHITECT L1

City: Woodland Hills

State/Province: California

Posting Start Date: 8/24/26

Job Description:

Job Description

Location Woodland Hills CA Mason OH onsite Role

Key Responsibilities

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

Required Skills and Expertise

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

Evaluation Criteria Critical Components

1 Technical Depth

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

2 Architectural Vision

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

Experience in scalability resilience and performance optimization

3 Cloud and Data Expertise

Hands on deployment of AI workloads on Azure Cloud

Strong knowledge of databases search systems and distributed storage

4 Domain Knowledge

Familiarity with healthcare regulations and ability to design compliant solutions

5 Leadership and Collaboration

Experience mentoring engineers conducting reviews and driving technical excellence

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

6 Innovation and Research Orientation

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

Preferred Qualifications

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

Mandatory 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.