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About the Role

This role is at the frontier of investment and artificial intelligence, building systems that redefine active management. You will pioneer AI-powered investment capabilities to expand human insight, accelerate alpha generation, and shape how T. Rowe Price delivers value globally. The Investment AI Solutions Analyst combines deep investment knowledge with technical expertise in AI systems design to create, deploy, and operationalize agentic AI that enhances the investment process.

Responsibilities

Develop and maintain strong, consultative relationships with fundamental analysts and portfolio managers (PMs).
Serve as a subject matter expert in AI, identifying opportunities for AI to add value to fundamental investors.
Define the product roadmap, assess feasibility, and establish accountability in partnership with stakeholders.
Design and deliver agentic architectures integrating LLMs, quantitative models, enterprise data pipelines, and real-time reasoning systems.
Deploy and drive adoption of agents that understand financial context, retrieve relevant knowledge, and generate research-grade outputs.
Implement robust guardrails, compliance checks, and observability frameworks for agents in production investment environments.
Continuously evaluate and integrate emerging frameworks in multi-agent coordination, retrieval-augmented generation (RAG), and prompt design.
Partner with fundamental and quantitative investors to identify high-value opportunities for AI-enabled automation and augmentation.
Translate complex investment problems into structured AI workflows that generate measurable alpha and enhance decision velocity.
Proactively push relevant research to analysts and PMs, supplementing their decision-making process.
Present research and recommendations confidently in meetings and formal presentations to the investment team.
Work across Investment, Data Science, and Technology teams to deliver AI-native capabilities that modernize T. Rowe Price’s investment platform.
Lead workflow transformations that translate complex processes into intelligent agentic solutions.
Continuously develop investment workflow prototypes to test the feasibility of fully autonomous, self-improving systems.
Help institutionalize best practices for prompt engineering, orchestration, and responsible AI across the investment organization.

Requirements

B.S. in a quantitative discipline (Computer Science, Applied Mathematics, Statistics, or related field).
Expert-level proficiency in programming languages (R or Python) and experience applying these to agentic AI systems (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel, or LangGraph).
Exceptional skills in prompt engineering, assessing use cases for agentic feasibility, and converting complex workflows into logical, step-by-step tasks.
Deep expertise in data modeling, processing, integration, and analytics, with demonstrable proficiency in enterprise data platforms (e.g., Snowflake, Databricks, BigQuery).
Strong track record of innovation and problem-solving to find creative technical solutions to new and unforeseen business problems.
Ability to travel to support deployments across the global organization.
Strong communication skills, with the ability to synthesize complex AI and investment concepts for diverse audiences.
5+ years’ experience with financial modeling, portfolio construction, trading, or investment management workflows.
M.S. or Ph.D. in a quantitative discipline.
Leadership experience driving technology and investment teams.
3+ years developing agentic AI systems (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel, or LangGraph).
10+ years’ experience with financial modeling, portfolio construction, trading, or investment management workflows.
Experience with advanced retrieval-augmented generation and multi-agent systems.
Certifications such as: Databricks Certified Generative AI Engineer Associate, SnowPro® Specialty: Gen AI, AWS Certified Machine Learning Engineer – Associate, AWS Certified Machine Learning – Specialty.
CFA charterholder or active candidate.
FINRA licenses are not required and will not be supported for this role.

Skills

AI
Agentic AI
LLMs
Quantitative models
Enterprise data pipelines
Real-time reasoning systems
Financial context understanding
Retrieval-augmented generation (RAG)
Prompt design
Multi-agent coordination
Data modeling
Data processing
Data integration
Data analytics
Python
R
LangChain
AutoGen
CrewAI
Semantic Kernel
LangGraph
Snowflake
Databricks
BigQuery
Financial modeling
Portfolio construction
Trading
Investment management workflows

Location

Maryland
Colorado
Washington
Remote
Washington, D.C.
New York
California

Work Type

Hybrid
Remote

Experience Level

5+ years’ experience with financial modeling, portfolio construction, trading, or investment management workflows
3+ years developing agentic AI systems
10+ years’ experience with financial modeling, portfolio construction, trading, or investment management workflows

Education Level

B.S. in a quantitative discipline (Computer Science, Applied Mathematics, Statistics, or related field)
M.S. or Ph.D. in a quantitative discipline

Salary/Compensations

$133,000.00-$200,000.00 for Maryland, Colorado, Washington and remote workers
$133,000.00-$200,000.00 for Washington, D.C.
$133,000.00-$200,000.00 for New York, California

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

About the Company

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.

Equal Opportunity

At T. Rowe Price, our associates are our greatest asset.
We thrive because our company culture is built on inclusion and because we sustain a work environment where associates can bring their best selves to work every day.
The backgrounds, talents, and experiences of our global associates allow us to embrace new ideas and perspectives that move our business priorities forward and enable us to deliver strong client outcomes.
Here, you can expect equal opportunity and fair and consistent treatment for all.
T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race.
We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, color, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.