AI ML Solution Architect

Job Description

AI ML Solution Architect | Wipro

The Tone:
This is a full-time role at Wipro, located in Hyderabad, Telangana, India. Wipro positions itself as an end-to-end digital transformation partner, committed to building a modern enterprise through continuous evolution and reinvention of businesses and industries. The company thrives on bold ambitions and seeks individuals inspired by reinvention of themselves, their careers, and their skills. This position is vital for analyzing complex client technology environments, developing detailed low-level designs, and ensuring the seamless integration of technology components into existing client systems. It directly supports Wipro’s purpose-driven approach to empowering clients through cutting-edge technological solutions and continuous advancement, shaping the future of digital transformation.

The TL;DR
• Role: Full Time
• Type: Full-time
• Location: In-person – Hyderabad, Telangana, India
• Mission: This person analyzes client technology environments, creates low-level design inputs, and integrates technology components for specific client solutions.
• Tech Stack: AI & Machine Learning, Javascript, React, Apache Kafka, kubernetes, Docker, PostgreSQL, Springboot Java, RestAPI, Azure, Terraform

What You’ll Actually Do
• Client Environment Analysis: Participate in detailed client discussions to gather comprehensive information regarding platform constraints, specific technology stacks, and critical performance expectations for a given technology solution.
• Low-Level Design Creation: Develop precise low-level design inputs for assigned technologies, providing expert technical viewpoints on specific components while ensuring adherence to established industry standards and best practices.
• Technology Integration Assessment: Thoroughly assess and evaluate the client’s existing technology environment to strategically support the effective integration of new technology components, thereby ensuring complete system-level technical compatibility.
• Deployment Troubleshooting: Actively support all testing activities for technology components and collaborate closely with both developers and infrastructure teams to efficiently troubleshoot and resolve any errors encountered during crucial deployment phases.

The Must-Haves
• Background: A seasoned professional with a deep understanding and core domain knowledge in AI ML Solution Architecting. This role requires expertise in analyzing complex client technology environments and crafting strategic low-level design inputs.
• Experience: 8-10 years of progressive experience, specifically involving the analysis of diverse client technology environments, the creation of detailed low-level design inputs, and the effective integration of technology components into existing client infrastructures.
• Skills: AI ML Solution Architecting (Mandatory), AI & Machine Learning, Javascript, React, Apache Kafka, Kubernetes, Docker, PostgreSQL, Springboot Java, RestAPI, Azure, Terraform.