Enterprise AI Architect

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🕒 March 27

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T. Rowe Price

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

T. Rowe Price is a premiere global asset management organization, actively investing in opportunities to help people thrive in an evolving world.

📋 Description

• Define and maintain the firm's Enterprise AI Architecture, spanning model infrastructure, data pipelines, orchestration layers, integration patterns, and governance controls • Develop reference architecture for agentic AI systems and multi-agent workflows, establishing standards for orchestration frameworks, tool use, and model-context protocols (MCP) across business domains • Develop AI reference architectures for accelerating priority investment front-to-back office use cases • Drive integration of AI capabilities with core data platform and content platform, leveraging retrieval-augmented generation (RAG), MCP, etc. to unlock the firm's proprietary data assets • Design and operationalize the AI governance framework, covering model risk management, explainability standards, bias monitoring, data lineage, and regulatory compliance (existing and emerging AI-specific regulation) • Establish, evolve model evaluation and selection criteria for frontier and open-weight models, balancing capability, performance, cost, latency, etc. • Partner with Legal, Compliance, and Risk to embed AI risk controls into architecture review processes • Define data privacy and security patterns for AI workloads, including prompt injection defenses, PII handling, and sovereign data requirements • Translate business strategies from investment management, distribution, finance, and operations into AI architecture requirements and roadmaps • Guide Architecture Review Board (ARB) evaluations for AI-related proposals, ensuring alignment with enterprise standards, principles, and strategic direction • Produce executive-grade artifacts — technology radars, strategic assessments, vendor evaluations, and architectural decision records (ADRs) • Serve as an AI thought leader and trusted advisor, building AI literacy and architectural confidence across technology and business leadership • Operate a continuous technology scanning practice, monitoring frontier AI developments (foundation models, agentic frameworks, AI infrastructure) and distilling insights for senior leadership • Evaluate and pilot emerging AI capabilities in a structured proof-of-concept framework, with clear criteria for progression from exploration to production • Maintain relationships with leading AI vendors, cloud hyperscalers, research institutions, and peer firms to benchmark capability and strategy • Mentor and coach architects and engineers on AI design patterns, responsible AI practices, and architectural thinking • Contribute to the development of the Enterprise Architecture practice, including standards, templates, and capability-building programs • Represent the firm in external architecture and AI forums, industry working groups, and partner communities

🎯 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