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
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.
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