Technology & Transformation - Engineering - Senior Consultant - DT - Product Architect - Bengaluru
Deloitte South Asia
Technology & Transformation - Engineering - Senior Consultant - DT - Product Architect - Bengaluru
- Job requisition ID : 106406
- Location: Bengaluru
- Entity: Deloitte Touche Tohmatsu India LLP
The team
Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.
Your work profile
We are seeking a highly experienced DT Product Architect – Agentic AI Solutions to lead the design, architecture, and delivery of enterprise-scale Agentic AI programs. This role combines digital consulting, enterprise architecture, AI solution design, and product leadership to help clients transform business processes, customer experiences, and decision-making using AI-powered autonomous systems.
The ideal candidate will be a techno-functional leader capable of engaging with business stakeholders, defining AI-driven business solutions, architecting Agentic AI platforms on hyperscalers such as Microsoft Azure, and Google Cloud Platform (GCP), and guiding implementation teams through successful deployment.
The role requires strong expertise in Digital Transformation, Enterprise Architecture, Product Strategy, Generative AI, Agentic AI Frameworks, LLMOps, and Cloud-native AI services.
Key skills required:
- Lead client discussions to identify opportunities for business transformation through Agentic AI and Digital Technologies.
- Engage with CxO, Business, Operations, Technology, and Data leadership teams to define strategic AI initiatives.
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