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Application Architect L1
Job Location:
Monthly Salary:
Posted:
10 August 2026 (4 hours ago)
Posted:
Application Deadline:
7 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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 230000 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. For additional information visit us at . Mandatory Skills: Agentic AI. Experience: 8-10 Years.The expected compensation for this role ranges from $80000 to $158000 . 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 Wipros 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.
Job Description
Role: Senior AI/ML Engineer GenAI & Cloud Solutions
Location:MasonOH (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.
Required Experience:
Staff IC
About Company
As a global leader, Wipro blends consulting and AI expertise across design, engineering and operations to accelerate business transformation and deliver future-ready technology.
