The Sr Staff Enterprise AI Architect will lead the design, standardization, and scaling of enterprise-grade AI solutions across strategic business initiatives. This role will define reusable AI architecture patterns, guide implementation teams on modern AI/GenAI approaches, and ensure alignment with enterprise standards for scalability, security, reliability, observability, and cost optimization.
The ideal candidate brings deep expertise in Generative AI solution architecture, Retrieval-Augmented Generation (RAG), agentic AI systems, LLM orchestration, enterprise data integration, and AI platform engineering. This individual will work closely with business, product, data, and engineering teams to accelerate the adoption of reusable AI capabilities and production-ready AI solutions across the enterprise.
Job Description
Roles & Responsibilities
Define and drive enterprise AI architecture strategy across multiple business domains and AI initiatives.
Architect scalable, reusable, and secure AI/GenAI solution patterns for enterprise adoption.
Lead solution design for Generative AI/ Physical AI/ Vision AI applications including RAG pipelines, agentic workflows, AI copilots, document intelligence, and enterprise search.
Establish enterprise standards for:
Model selection and orchestration
Prompt engineering and prompt management
Chunking and embedding strategies
Hybrid retrieval approaches
Vector database integration
Agentic orchestration frameworks
AI observability, evaluation, and monitoring
Guide teams on advanced retrieval architectures, semantic search, non-sequential document understanding, and contextual information extraction.
Design reusable AI services and accelerators that can be leveraged across multiple use cases and business units.
Collaborate with enterprise platform, cloud, data, and cybersecurity teams to ensure AI solutions align with enterprise architecture and governance standards.
Standardize integration patterns with enterprise systems including data lakes, ERP systems, workflow platforms, and operational applications.