T. Rowe Price

Financial Planning and Analysis

• Design, build, test, and deploy AI agents and intelligent systems for modern cloud-based, n-tier architectures.
• Partner with business stakeholders to develop agent-driven workflows that automate complex processes and generate actionable insights.
• Champion engineering excellence by applying best practices in AI development, continuous integration, and code quality.
• Contribute to projects on agent orchestration, prompt engineering, real-time data-driven automation, and evaluation frameworks.
• Manage technical debt and drive ongoing improvements in AI platforms and infrastructure.
• Proactively seek opportunities to apply AI agents for increased business value and operational efficiency.
• Collaborate directly with business stakeholders to understand needs and priorities. Make technology decisions that support current and future business objectives and fiscal responsibility. Translate business requirements into effective technology solutions.

AI Full Stack Software Engineer – Investments Technology

• Lead the design, development, and deployment of AI systems, providing technical mentorship and oversight to engineering squads.
• Collaborate in cross-functional squads to ensure responsible AI solutions are scaled across the enterprise.
• Partner with business stakeholders to develop agent-driven workflows that automate complex processes and generate actionable insights.
• Champion engineering excellence by establishing and enforcing best practices in AI development, continuous integration, and code quality.
• Oversee projects on agent orchestration, prompt engineering, and real-time, data-driven automation.
• Prioritize and manage technical debt, driving ongoing improvements in AI platforms and infrastructure.
• Proactively identify and pursue opportunities to apply AI agents for increased business value and operational efficiency.

Lead AI Full Stack Software Engineer – Investments Technology

• Design, develop, and deploy autonomous AI systems as part of the Investments Technology team
• Collaborate in cross-functional squads across Investments, Investments Technology, and TRP Labs to help scale responsible AI solutions across the enterprise
• Design, build, test, and deploy AI agents and intelligent systems for modern cloud-based, n-tier architectures
• Partner with business stakeholders to develop agent-driven workflows that automate complex processes and generate actionable insights
• Champion engineering excellence by applying best practices in AI development, continuous integration, and code quality
• Contribute to projects on agent orchestration, prompt engineering, real-time data-driven automation, and evaluation frameworks
• Manage technical debt and drive ongoing improvements in AI platforms and infrastructure
• Proactively seek opportunities to apply AI agents for increased business value and operational efficiency
• Collaborate directly with business stakeholders to understand needs and priorities
• Make technology decisions that support current and future business objectives and fiscal responsibility
• Translate business requirements into effective technology solutions

Senior AI Full Stack Software Engineer – Investments Technology

Data Scientist

• Contribute to the full data & model lifecycle: problem framing, EDA, feature engineering, modeling, evaluation, deployment, and monitoring
• Develop production solutions in Python (pandas, PySpark) on Databricks (Delta Lake, Unity Catalog, MLflow, Workflows/Jobs); apply CI/CD and reproducible experiments
• Employ automated testing for code, data, and models (unit tests, data validation, drift/bias checks); ensure repeatable pipelines
• Identify and address data/model technical debt; improve schemas, data contracts, and performance/cost
• Deliver well‑defined work items; clarify requirements through thoughtful questions and proposals
• Mentor data scientists and engineers; lead code/design reviews and foster a collaborative culture
• Own the quality, maintainability, security, governance, and total cost of ownership of delivered solutions
• Help shape elements of the data/ML platform strategy and drive execution within your domain
• Balance strategic and pragmatic concerns; proactively surface risks and resolve issues

Senior Data Scientist

Data Engineer

• As a Sr. Enterprise Data Architect, accountable and responsible for coordinating, documenting, communicating and governing on enterprise Data and Data AI architectures.
• Deep understanding of modern cloud data and AI architectures and excellent communication skills to effectively lead and collaborate with various teams and stakeholders.
• Assisting in the documentation of target state architectures, guiding principles and frameworks.
• May also be involved in training engineers across the enterprise.
• Ensuring that all individual solution architecture artifacts and changes are documented as per process standards and stored in T. Rowe Price’s EA Library to facilitate compliance, organization, and access.
• Mentoring junior members of the team.

Senior Enterprise Data Architect

Analyst

• Support legal counsel in the management of the T. Rowe Price and its affiliate’s intellectual property portfolio, including trademarks, copyrights, trade secrets, and patents.
• Participate in branding and product ideation initiatives, including conducting trademark clearance searches and supporting application, prosecution, and maintenance activities.
• Support intellectual property enforcement activities, including investigations, disputes, and coordination with internal and external stakeholders.
• Assist with the negotiation, drafting, review, and lifecycle management of intellectual property licenses and related agreements.
• Support transaction attorneys by reviewing intellectual property provisions in highly complex commercial agreements with suppliers, partners, and clients.
• Coordinate and manage relationships with external counsel, including oversight of deadlines, budgets, and deliverables.
• Support compliance with third-party intellectual property and data usage requirements, including proprietary and market data.
• Contribute to the development and implementation of a comprehensive trade secret strategy, including identification, protection, education, and enforcement.
• Serve as an initial point of contact for intellectual property and proprietary data inquiries from business stakeholders worldwide, operating independently within established frameworks and escalating legal judgment issues to counsel as appropriate.
• Develop, maintain, and enhance job aids, templates, forms, playbooks, and clause libraries to support legal and business stakeholders.
• Design and implement self-service solutions that enable efficient business execution while managing intellectual property risk.
• Support the standardization and scalability of IP-related transactional review processes.
• Design and deliver training programs and innovative educational mechanisms to embed “IP by design” into business activities and transactions.
• Create and publish internal communications, including blog posts, guidance materials, newsletters, and thought-leadership content, to promote intellectual property awareness.
• Help shape and communicate the organization’s intellectual property narrative to encourage strategic use and protection of IP assets.
• Lead and manage the organization’s IP Champions Network, fostering engagement, education, and collaboration across business units.
• Serve as a trusted partner to product, commercial, technology, compliance and legal teams on intellectual property matters.
• Leverage AI and other emerging technologies to automate and streamline intellectual property workflows.
• Identify and implement opportunities to improve IP-related processes, controls, and service delivery models.

Senior Analyst, Intellectual Property

Full-stack Engineer

• Lead the design, development, and deployment of AI systems, providing technical mentorship and oversight to engineering squads.
• Collaborate in cross-functional squads, drive the Build-Operate-Transfer model, and ensure responsible AI solutions are scaled across the enterprise.
• Partner with business stakeholders to develop agent-driven workflows that automate complex processes and generate actionable insights.
• Champion engineering excellence by establishing and enforcing best practices in AI development, continuous integration, and code quality.
• Oversee projects on agent orchestration, prompt engineering, and real-time, data-driven automation.
• Prioritize and manage technical debt, driving ongoing improvements in AI platforms and infrastructure.
• Proactively identify and pursue opportunities to apply AI agents for increased business value and operational efficiency.
• Engage directly with business stakeholders to thoroughly understand organizational needs, strategic priorities, and evolving market demands.

Lead Software Engineer

• Lead the design, development, and deployment of AI systems
• Collaborate in cross-functional squads, drive the Build-Operate-Transfer model
• Partner with business stakeholders to develop agent-driven workflows
• Champion engineering excellence by establishing and enforcing best practices in AI development
• Oversee projects on agent orchestration, prompt engineering, and real-time, data-driven automation
• Proactively identify and pursue opportunities to apply AI agents for increased business value

Learning and Development

• Gather data related to organizational and team effectiveness, provide feedback, and craft strategies and solutions to close gaps from current to desired future state, partnering closely with stakeholders on implementation
• Lead end-to-end organizational design and operating model projects for multiple business units, partnering with HR Business Partners and OD team members to ensure alignment
• Facilitate and advise HR Business Partners and leaders on organizational structure/design, governance, decision rights, and related areas impacting productivity and business outcomes
• Design and facilitate leadership alignment and team effectiveness interventions, including diagnostics, leadership working sessions, and post-change team resets
• Support leaders and teams in translating new structures and strategies into shared norms, behaviors, and operating expectations
• Guide HR Business Partners and leaders in strengthening leadership and team capability following organizational change
• Support business leaders with strategic planning and problem framing; design activities and reinforcement mechanisms to support strategy execution and operating model clarity
• Partner closely with the Transformation Office and program leaders to integrate organizational, leadership, and change considerations into enterprise initiatives
• Build strong, collaborative relationships with HR Business Partners, Talent COEs, and key enterprise stakeholders to ensure aligned, integrated approaches
• Establish, track, and report OD metrics to measure organizational impact based on established goals and timelines
• Participate as an active contributor to work supporting internal business clients and the broader Talent, Enterprise Learning, and HR ecosystem

Senior Organizational Development Consultant

Risk

• Applies knowledge to improve risk management within Advice Solutions.
• Applies understanding of the design and operating effectiveness of internal controls and operating procedures to advise the business line on executing the risk program, responsible product offer scaling, and delivering an outstanding client experience.
• Leveraging comprehensive knowledge of business line, examines existing processes, operational controls, and policies; identifies control gaps; and helps make initial recommendations on potential treatments for any gaps found within a business line.
• Expands knowledge of the Advice Solutions business line; understands standards, guidelines, and regulations the business line is subject to; and helps monitor compliance across the business line.
• Evaluates potential courses of action to address issues identified and recommends solutions.
• May work with internal auditors, researching and providing information when assigned business line is audited and report on identified gaps to senior staff.
• Proactively identifies and addresses potential gaps and issues that may occur within the business line across the spectrum of all Advice Solutions product offers.
• Operate various Advice Solutions controls as delegated to ensure business line continuity, operational efficiency, and risk management.
• Collaborate cross-functionally with internal and external business partners to execute program initiatives, resolve issues, and maintain overall business operations.
• Continues to develop an understanding of organizational risk culture and the application to assigned business line.

AI Full Stack Software Engineer – Investments Technology

Lead AI Full Stack Software Engineer – Investments Technology

Senior AI Full Stack Software Engineer – Investments Technology

Senior Data Scientist

Senior Enterprise Data Architect

Senior Analyst, Intellectual Property

Lead Software Engineer

Lead Software Engineer

Senior Organizational Development Consultant

Business Line Risk Management Analyst