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. * 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.* 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.* Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field, with a strong focus or specialization in AI.* Experience in financial services — asset management, investment banking, or fintech — with an understanding of investment workflows, data governance, and regulatory obligations.* Knowledge of AI governance frameworks, model risk management guidelines, and emerging AI regulations.* Familiarity with emerging AI-adjacent technologies: quantum computing implications for AI, blockchain/DLT, etc.Placement within the range provided above is based on the individual’s relevant experience and skills for the role. Base salary is only one component of our total compensation package. Employees may be eligible for a discretionary bonus, which is determined upon company and individual performance.We value your goals and needs, at work and in life. As an associate, you’ll be supported with resources, benefits, and work-life balance so you can thrive in ways that matter to you. Featured employee benefits to enrich your life: Competitive compensation Health and wellness benefits, including online therapy Family care resources, including fertility and adoption benefits
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