Application Architect L1
About The Position
Wipro Limited is seeking an Application Architect L1 to lead the design and development of scalable, secure, and high-performance AI/ML systems. This role involves driving end-to-end solution development for enterprise-grade GenAI applications, focusing on areas like vector embeddings, prompt engineering, and context engineering. The architect will oversee the deployment of these workloads on Azure Cloud, ensuring compliance, scalability, and cost optimization. Responsibilities include designing data pipelines, building microservices using Azure Functions and Container Apps, defining cloud-native architecture patterns, and applying deep knowledge of the healthcare domain to ensure solutions meet regulatory standards such as HIPAA and GDPR. The role also involves technical leadership, mentoring engineering teams, and staying abreast of emerging GenAI/LLM/NLM trends.
Requirements
- Hands-on expertise with Agentic Layer A2A frameworks and MCP Protocol for multi-agent orchestration.
- Strong background in vector embeddings, prompt engineering, context engineering, and fine-tuning LLMs.
- Deep understanding of Generative AI, Natural Language Models (NLM), and Large Language Models (LLM).
- Advanced proficiency in Python; exposure to Java or Go is a plus.
- Strong experience with Azure Cloud services, including deployment, monitoring, and scaling.
- Expertise in Azure AI Search, Redis, Cosmos DB; familiarity with Blob Storage and Iceberg is advantageous.
- Solid grasp of microservices, containerization, serverless computing, scalability, and performance optimization.
- Familiarity with healthcare regulations and compliance frameworks (HIPAA, GDPR).
- 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.
- 8-10 years of experience.
- Mandatory Skills: Agentic AI.
Nice To Haves
- 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.
Responsibilities
- Architect and Design scalable, secure, and high-performance AI/ML systems leveraging Agentic Layer, A2A frameworks, and MCP Protocols.
- Drive end-to-end solution development, including vector embeddings, prompt engineering, and context engineering for enterprise-grade GenAI applications.
- Architect and oversee the deployment of AI/ML workloads on Azure Cloud, ensuring compliance, scalability, and cost optimization.
- Design and optimize data pipelines and storage solutions using Azure AI Search, Redis, Cosmos DB, Blob Storage, and Iceberg.
- Build and manage Azure Functions and Azure Container Apps for microservices-based AI solutions.
- Define cloud-native architecture patterns, implement performance tuning, and ensure resilience across distributed systems.
- Apply deep knowledge of healthcare domain requirements, ensuring solutions meet regulatory standards (HIPAA, GDPR) and handle sensitive data securely.
- Mentor engineering teams, establish best practices, and conduct design and code reviews.
- Stay ahead of emerging GenAI, LLM, and NLM trends and integrate cutting-edge approaches into enterprise solutions.
Benefits
- Full range of medical and dental benefits options
- Disability insurance
- Paid time off (inclusive of sick leave)
- Other paid and unpaid leave options
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
