Job Description

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 230,000 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 www.wipro.com.

Job Description

We are seeking a skilled and innovative AI Engineer / Senior AI Engineer to design, develop, evaluate, and deploy enterprise AI solutions focused on Quality Engineering, Performance Testing, Test Automation, and Operational Efficiency. The ideal candidate must have strong domain expertise in Functional Testing (FT), Performance Testing (PT), Automation, and QA operations, along with hands-on experience in building Generative AI / LLM-based and agentic solutions. This is a hands-on engineering and solutioning role requiring the ability to translate QA/NFT challenges into scalable AI-driven solutions

Total 8+ years of IT experience across SDLC, STLC, Quality Engineering, Platform Engineering, or related areas

Minimum 3+ years of hands-on AI/ML and Generative AI implementation experience

Strong domain expertise in Quality Engineering to identify problem statements and design relevant AI solutions across FT, PT, automation, and QA operations, with mandatory deep understanding of QA/NFT domains

Experience in designing and implementing enterprise-scale AI solutions.

Build and implement Generative AI / LLM-based solutions including copilots, assistants, autonomous agents, and QA accelerators with focus on agentic workflows

Design end-to-end AI/ML solutions aligned with enterprise standards

Design and implement Retrieval-Augmented Generation (RAG) solutions

Build and manage knowledge bases using test artifacts, logs, and reports for context-aware reasoning

Work with vector databases, embeddings, and retrieval strategies

Build agent-based systems capable of autonomous interpretation, multi-step reasoning, and decision-making with minimal prompting

Lead the design and implementation of complex AI/ML models, including NLP, computer vision, and predictive analytics.

Develop AI strategy and roadmap based on business priorities and emerging technologies.

Experience with agent orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, and LlamaIndex

Ensure solutions are production-grade with high performance, scalability, and fault tolerance

Integrate AI systems via APIs, microservices, and enterprise platforms

Enable multi-model orchestration (GPT, Claude, Gemini, etc.) and model-agnostic architecture design

Establish MLOps / LLMOps practices including CI/CD pipelines and model lifecycle management

Implement monitoring, drift detection, feedback loops, and continuous improvement mechanisms

Ensure AI system performance optimization including latency, token efficiency, and cost optimization

Define governance for data security, compliance, Responsible AI, and explainability

Collaborate with QA, development, and business stakeholders to translate requirements into AI solutions

Mentor team members and drive AI adoption across teams

Conduct architecture reviews and technical design sessions

Experience in enterprise AI transformation programs

Experience in vector databases and RAG pipelines

Knowledge of Responsible AI and Explainable AI frameworks

Experience with multi-modal AI (text, image, logs, telemetry)

Experience in performance engineering for AI systems

Hands-on experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, and agent frameworks

Strong experience with QA tools such as Selenium, Playwright, JMeter, NeoLoad, LoadRunner, and observability tools like Splunk or Dynatrace

Strong understanding of testing lifecycles, bottlenecks, and tool ecosystems

Identify, design, develop, and deploy AI use cases across FT, PT, automation, and operations

Build end-to-end agentic systems (not just prompt-based solutions)

Drive enterprise-grade, production-ready AI architecture

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Mandatory Skills: AI/ML App Testing .

Experience: 3-5 Years .

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.