Enterprise AI Architect
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
Technologies
LLM APIs · vector databases · RAG · LangChain · AutoGen · Model Context Protocol (MCP) · Snowflake · Databricks · AWS Bedrock · TOGAF
About T. Rowe Price
Global active asset manager offering equity, fixed income, multi-asset, and alternatives strategies to individuals, advisors, institutions, and retirement plan sponsors.
Public · 5000+ people
Job description
The full responsibilities and requirements are on the employer’s site.
Read the job description ↗Source and classification
Internal deployment & tooling · Evidence for this classification:
firm-wide AI activation, as part of the Enterprise Architecture team and working directly with the Chief Architect, to define, govern, and accelerate AI adoption across a complex, global institution. You will translate ambitious enterprise strategy into concrete architectural blueprints, ensuring that AI initiatives are coherent, scalable, secure, and aligned with our fiduciary obligations. This is a rare opportunity to shape the architectural foundations of an AI-forward firm from the ground up. Why This Role Matters: The Enterprise Architecture team serves as the connective tissue between technology capability and business strategy execution. With AI emerging as the defining technology of this era, the team requires a dedicated architect who brings both the depth to evaluate frontier AI systems and the breadth to integrate them into our global enterprise technology and data estate.
More from the job description
At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident. We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You’ll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you’ll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity. Join us for the opportunity to grow and make a difference in ways that matter to you. Role Summary At T. Rowe Price, the mission of the Enterprise Architecture (EA) function is to empower the firm to achieve its strategic objectives through the optimal use of technology. The EA function will align technology with business capabilities to enable effective strategy execution and business transformation. By monitoring an [... source excerpt omitted ...] ndustry disruption. We are at an inflection point. Artificial intelligence is reshaping every dimension of asset management — from investment research and portfolio management to client engagement, and operational efficiency. As Enterprise AI Architect, you will be at the forefront of firm-wide AI activation, as part of the Enterprise Architecture team and working directly with the Chief Architect, to define, govern, and accelerate AI adoption across a complex, global institution. You will translate ambitious enterprise strategy into concrete architectural blueprints, ensuring that AI initiatives are coherent, scalable, secure, and aligned with our fiduciary obligations. Thi [... source excerpt omitted ...] requires a dedicated architect who brings both the depth to evaluate frontier AI systems and the breadth to integrate them into our global enterprise technology and data estate. You will operate across three horizons simultaneously: Now — Guiding and accelerating in-flight AI initiatives, establishing guardrails and patterns for responsible deployment. Next — Designing the target-state AI architecture that integrates with our cloud enabled app and data stack, and our evolving digital workplace solutions. Beyond — Scanning the frontier, evaluating emerging capabilities (agentic AI, MCP-based orchestration, multimodal reasoning, quantum-AI convergence), and identifying strateg
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