Lead Consultant - AI Architect

AstraZeneca — India - Bangalore

Job Title: Lead Consultant - AI Architect Career Level: E Introduction to role: Are you ready to architect agentic AI at enterprise scale and turn enterprise data into decisions that accelerate life-changing medicines to patients? Do you want to help us set the standards and platforms that make AI secure, interoperable, and fast to deliver across a global organization? In this role, you will define the enterprise architecture for agentic AI, foundation models, and the Model Context Protocol, helping us scale platforms and enable innovative AI products across teams. You will connect strategy to execution by crafting tailored solutions using Amazon Web Services, OpenAI, Databricks, Amazon Bedrock, Amazon Q, SageMaker, Landing AI, and emerging technologies—ensuring alignment with data strategy and pharmaceutical regulations while unlocking measurable business value. You will collaborate with research, governance, engineering, and product teams as we deliver AI capabilities that are responsible by design. From first use case to production scale, you will establish repeatable patterns. You will reduce friction and build the technical backbone. This backbone powers self-directed processes, inquisitive data products, and knowledge systems. Accountabilities: Define enterprise AI architecture strategy aligned to our business and R&D priorities; set roadmaps that scale across domains and deliver measurable outcomes. Lead architecture for agentic AI, multi-agent orchestration, and foundation models (LLMs, multimodal), enabling autonomous workflows and intelligent operations. Establish reference architectures and standards across open-source and commercial AI platforms to drive secure, compliant, and repeatable delivery. Advance adoption of MCP to improve interoperability and context management across agents, applications, and data products. Scalable AI Platforms: Design scalable platforms across AWS, OpenAI, Databricks, and hybrid environments; ensure elasticity, reliability,

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