APPLICATION ARCHITECT L1

Wipro; Los Angeles (CA); On-site; USD 80,000 - 174,000; Full time

Benefits offered by this job

Medical & dental benefits

Disability insurance

Paid time off

Job summary

Wipro is seeking a Senior AI/ML Engineer – GenAI & Cloud Solutions in Woodland Hills, CA. You will lead design of scalable AI/ML systems, implement end-to-end GenAI solutions, and deploy workloads on Azure with a focus on security, cost, and compliance.

You will mentor teams, drive best practices, and stay ahead of GenAI trends while leveraging Azure services and HIPAA/GDPR considerations.

Qualifications

• Hands-on experience designing scalable, secure AI/ML systems.
• Strong knowledge of vector embeddings, prompts, and context engineering.
• Proficiency with Azure Cloud deployment, monitoring, and scaling.
• Experience with healthcare data compliance (HIPAA, GDPR).

Responsibilities

• Architect and design scalable AI/ML systems leveraging Agentic Layer A2A frameworks and MCP Protocols.
• Drive end-to-end GenAI solution development including embeddings, prompt and context engineering.
• Oversee Azure-based deployment of AI workloads with security, cost control, and compliance.
• Design data pipelines using Azure AI Search, Redis, Cosmos DB, Blob Storage, and Iceberg.
• Build and manage Azure Functions and Container Apps for microservices AI solutions.
• Define cloud-native patterns for performance, scalability, and resilience.
• Mentor teams, establish best practices, and conduct code reviews.
• Stay ahead of GenAI/LMM trends and integrate cutting-edge approaches.

Skills

Agentic Layer & Protocols

AI/ML Engineering

GenAI & LLM Concepts

Python

Azure Cloud

Databases

Cloud-Native Architecture

Healthcare Domain

Tools

Azure Functions

Azure Container Apps

Azure Cosmos DB

Azure AI Search

Redis

Blob Storage

Iceberg

Job description

Senior AI/ML Engineer – GenAI & Cloud Solutions

Location: Woodland Hills, CA (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 & 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, etc.) and handle sensitive data securely.
• Technical Leadership: Mentor engineering teams, establish best practices, and conduct design/code reviews.
• Innovation & Research: Stay ahead of emerging GenAI, LLM/NLM trends, and integrate cutting-edge approaches into enterprise solutions.

Required Skills & Expertise

• Agentic Layer & 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 & 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.

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.

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.