Principal Solution Architect

City: Bengaluru

State/Province: Karnataka

Posting Start Date: 1/29/26

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:

Role details

Role Overview:

We are seeking a hands-on and visionary AI leader to design and deliver advanced AI-driven solutions leveraging Generative AI, LLMs, Deep Learning, and related technologies. The ideal candidate combines deep technical expertise with architectural leadership and the ability to drive innovation across teams and projects.

• Architect, design, and implement scalable AI/ML solutions using Deep Learning, Generative AI, and Large/Small Language Models (LLMs/SLMs).
• Build and optimize intelligent backend systems integrating AI/ML capabilities with modern cloud and distributed platforms.
• Develop and deploy advanced solutions using RAG, Graph RAG, LangChain, and vector databases.
• Drive data strategy and ensure efficient data management, processing, and retrieval to support AI workloads.
• Collaborate with cross-functional teams to define architecture, standards, and technical roadmaps.
• Mentor and guide engineering teams, ensuring adherence to best practices in AI system design, coding, and performance optimization.
• Stay at the forefront of AI and ML research trends, applying emerging technologies to enhance business value and solution performance.
• Ensure end-to-end solution quality, scalability, and maintainability.

• Strong foundation in AI/ML algorithms, deep learning architectures, and model optimization techniques.
• Expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., PySpark).
• Experience with cloud platforms (AWS, Azure, GCP) and modern MLOps practices.
• Solid understanding of statistics, data structures, and scalable system design.
• Proven experience in leading AI solution architecture and delivery at scale.