Enterprise AI Architect

T. Rowe Price seeks an Enterprise AI Architect to define and maintain the firm's Enterprise AI Architecture, spanning model infrastructure, data pipelines, orchestration layers, integration patterns, and governance controls. The successful candidate will drive integration of AI capabilities with core data platform and content platform, and govern AI adoption across the firm.

Requirements

• Bachelor's degree in computer science, engineering, mathematics, statistics or related fields
• 10+ years in technology architecture roles, with at least 3–5 years focused on AI/ML architecture in large, complex enterprise environments
• Deep, hands-on command of the modern AI stack: LLM APIs and fine-tuning, vector databases, RAG architectures, embedding pipelines, prompt engineering, and agent orchestration frameworks (LangChain, AutoGen, or equivalents)
• Practical exposure to agentic AI architecture, multi-agent coordination, and Model Context Protocol (MCP) or similar tool-use frameworks
• Proven experience with enterprise data platforms (Snowflake, Databricks, or comparable) and integrating AI capabilities on top of them
• Strong understanding of cloud-native architecture on AWS, including relevant AI/ML services, e.g. Bedrock, etc.
• Demonstrated ability to produce high-quality architecture artifacts — reference architectures, technology radars, ADRs, capability assessments
• Familiarity with enterprise architecture frameworks such as TOGAF, and experience operating within Architecture Review Boards
• Excellent communication skills: the ability to synthesize complex technical topics into clear, actionable narratives for non-technical stakeholders

Benefits

• Competitive compensation
• Annual bonus eligibility
• A generous retirement plan
• Hybrid work schedule
• Health and wellness benefits, including online therapy
• Paid time off for vacation, illness, medical appointments, and volunteering days
• Family care resources, including fertility and adoption benefits