Distinguished Architect, AI Platform

Your CareerAs a Distinguished Architect for Enterprise AI Platform, you will be driving the design, implementation, scaling, and evangelism of the end-to-end AI platform that will be used across IT  and Enterprise business functions (Sales, Marketing, Finance, HR, Legal, etc).This crucial role operates where AI innovation, top-tier engineering, and significant business outcomes converge. The platform will enable widespread AI development, supporting both code-based as well as low-code/no-code approaches, to accelerate the journey from concept to large-scale deployment of AI assistants, applications, and agents.Given the fast pace of AI innovation, the platform will be designed for extensibility and flexibility to allow plug-and-play of emerging protocols (such as A2A, MCP),  SDKs, frameworks, agent tools. You will be designing for performance, reliability, security, rapid experimentation, and developer friendliness. You will partner with executive leadership, data science teams, engineering, and product stakeholders to translate complex business use-cases into scalable, production-grade AI solutions—positioning the AI platform as a foundational capability across the organization.Your ImpactEnterprise AI Platform Vision: Define and lead the long-term architectural strategy for AI/ML across the organization, aligning with enterprise goals and emerging technology trendsEnd-to-End System Design: Architect large-scale, distributed AI/ML systems including traditional and GenAI model development, deployment patterns, Gen AI UX patterns, RBAC and fine-grained access control, real-time inference systemsTechnology and Platform Strategy: Drive selection of AI tools, frameworks, cloud solutions, and hybrid infrastructure that align with business and engineering needsArchitectural Governance: Establish design standards, patterns, and review frameworks that ensure scalable and secure development of AI assistants, agents, apps across teamsCross-Functional Leadership: Collaborate with Data Scientists, ML Engineers, Data Engineers, and Product and IT leaders to ensure architectural decisions are feasible, cost-effective, and aligned with business needsSecurity & Responsible AI: Lead the conversation on responsible AI, ensuring systems comply with responsible AI, data governance, privacy laws, security policies, and ethical AI frameworksTechnical Mentorship: Inspire and mentor senior engineering talent across the company. Promote architectural excellence, innovation, and hands-on experimentationInnovation Leadership: Actively learn and incorporate advances in Agents, GenAI, LLMs, AIOps, and scalable AI architectures. Bring emerging innovations into production through POCs and long-term architectural evolution