T. Rowe Price
Lead AI Software Engineer - TRP Labs LondonApplylocations: London, Warwick Courttime type: Full timeposted on: Posted Todayjob requisition id: 82631At 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.We are seeking an experienced Lead Software Engineer to join T. Rowe Price Labs' AI Engineering team. In this role, you will lead the design and delivery of production-grade AI systems, guide technical direction across high-impact initiatives, and help define how AI products are built, hardened, and scaled across the firm.This position is based in our London office, where you will work closely with engineers, product owners, and business stakeholders across the UK and global teams to incubate new AI products, mature them for production, and enable broader adoption through a Build-Operate-Transfer model.This is a hands-on technical leadership role for someone who enjoys solving complex engineering problems, mentoring other engineers, and shaping best practices for responsible AI. You will contribute to reusable AI capabilities, influence engineering standards, and help set direction for modern AI engineering at T. Rowe Price. You will also help showcase the team's AI work to visiting clients and partners, explaining how our projects solve business problems and how we collaborate with teams across the firm. Responsibilities Lead the design, development, deployment, and evolution of production-grade AI agents and intelligent systems within modern cloud-native architectures. Provide technical leadership and mentorship to engineers across squads, helping raise the bar on architecture, engineering quality, and execution. Drive the Build-Operate-Transfer model by incubating new AI products, hardening them for production, and partnering with business-aligned technology teams to transition proven solutions for long-term ownership and scale. Work closely with engineers, product owners, and senior partners to shape ambiguous problems into scalable AI solutions that deliver measurable business value. Guide the development of reusable AI capabilities and shared platform components across areas such as agent orchestration, tool use, retrieval-based systems, evaluation frameworks, observability, and guardrails. Champion engineering excellence through strong software design, code quality, automated testing, continuous integration, and continuous delivery practices. Ensure AI systems are built with measurable quality, production readiness, operational observability, and appropriate safety controls. Oversee technical debt and drive continuous improvement across AI platforms, services, and development standards. Identify and pursue opportunities to apply AI in ways that accelerate workflows, improve decision-making, and create scalable business impact across the firm. Present and demonstrate AI projects to clients, stakeholders, and visiting partner teams, clearly communicating the value, technical approach, and business impact of our work. Business Knowledge Engage directly with business stakeholders, product owners, and senior partners to understand priorities, shape solution direction, and align technical decisions to business outcomes. Apply strong product and engineering judgment to balance innovation, scalability, risk, and long-term maintainability. Translate complex business needs into robust, scalable technical solutions that support both immediate value delivery and broader enterprise adoption. Qualifications Required BS or MS in Computer Science or a related technical field, or equivalent practical experience. 8+ years of progressive software engineering experience developing applications in object-oriented languages such as Java, Python, or JavaScript, including experience leading technical delivery across teams or major initiatives. Extensive hands-on experience architecting and delivering cloud-native solutions using AWS or equivalent, containerized microservices, and modern software delivery practices. Experience building or leading development of AI-enabled systems, intelligent workflows, or agentic applications in production or near-production environments. Strong familiarity with modern AI engineering patterns such as agent orchestration, tool integration, retrieval-based systems, evaluation approaches, monitoring, or guardrails. Exceptional analytical, problem-solving, and system design skills, with a proven ability to lead teams through complex technical challenges. Strong communication, presentation, and influence skills, with the ability to explain complex AI and engineering concepts clearly to engineering, product, business, and client audiences. Demonstrated commitment to engineering excellence through setting and upholding standards for automated testing, code reviews, observability, and continuous delivery. Results-oriented leader with a passion for mentoring others, fostering innovation, and operating effectively in a rapidly evolving technology landscape. Preferred Experience contributing to shared platform capabilities, workflow systems, retrieval-based services, or other reusable engineering components. Understanding of financial markets, asset management, or financial instruments. Commitment to Diversity, Equity, and Inclusion: 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, colour, 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.
Lead AI Software Engineer - TRP Labs LondonApplylocations: London, Warwick Courttime type: Full timeposted on: Posted Todayjob requisition id: 82631At 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.We are seeking an experienced Lead Software Engineer to join T. Rowe Price Labs' AI Engineering team. In this role, you will lead the design and delivery of production-grade AI systems, guide technical direction across high-impact initiatives, and help define how AI products are built, hardened, and scaled across the firm.This position is based in our London office, where you will work closely with engineers, product owners, and business stakeholders across the UK and global teams to incubate new AI products, mature them for production, and enable broader adoption through a Build-Operate-Transfer model.This is a hands-on technical leadership role for someone who enjoys solving complex engineering problems, mentoring other engineers, and shaping best practices for responsible AI. You will contribute to reusable AI capabilities, influence engineering standards, and help set direction for modern AI engineering at T. Rowe Price. You will also help showcase the team's AI work to visiting clients and partners, explaining how our projects solve business problems and how we collaborate with teams across the firm. Responsibilities Lead the design, development, deployment, and evolution of production-grade AI agents and intelligent systems within modern cloud-native architectures. Provide technical leadership and mentorship to engineers across squads, helping raise the bar on architecture, engineering quality, and execution. Drive the Build-Operate-Transfer model by incubating new AI products, hardening them for production, and partnering with business-aligned technology teams to transition proven solutions for long-term ownership and scale. Work closely with engineers, product owners, and senior partners to shape ambiguous problems into scalable AI solutions that deliver measurable business value. Guide the development of reusable AI capabilities and shared platform components across areas such as agent orchestration, tool use, retrieval-based systems, evaluation frameworks, observability, and guardrails. Champion engineering excellence through strong software design, code quality, automated testing, continuous integration, and continuous delivery practices. Ensure AI systems are built with measurable quality, production readiness, operational observability, and appropriate safety controls. Oversee technical debt and drive continuous improvement across AI platforms, services, and development standards. Identify and pursue opportunities to apply AI in ways that accelerate workflows, improve decision-making, and create scalable business impact across the firm. Present and demonstrate AI projects to clients, stakeholders, and visiting partner teams, clearly communicating the value, technical approach, and business impact of our work. Business Knowledge Engage directly with business stakeholders, product owners, and senior partners to understand priorities, shape solution direction, and align technical decisions to business outcomes. Apply strong product and engineering judgment to balance innovation, scalability, risk, and long-term maintainability. Translate complex business needs into robust, scalable technical solutions that support both immediate value delivery and broader enterprise adoption. Qualifications Required BS or MS in Computer Science or a related technical field, or equivalent practical experience. 8+ years of progressive software engineering experience developing applications in object-oriented languages such as Java, Python, or JavaScript, including experience leading technical delivery across teams or major initiatives. Extensive hands-on experience architecting and delivering cloud-native solutions using AWS or equivalent, containerized microservices, and modern software delivery practices. Experience building or leading development of AI-enabled systems, intelligent workflows, or agentic applications in production or near-production environments. Strong familiarity with modern AI engineering patterns such as agent orchestration, tool integration, retrieval-based systems, evaluation approaches, monitoring, or guardrails. Exceptional analytical, problem-solving, and system design skills, with a proven ability to lead teams through complex technical challenges. Strong communication, presentation, and influence skills, with the ability to explain complex AI and engineering concepts clearly to engineering, product, business, and client audiences. Demonstrated commitment to engineering excellence through setting and upholding standards for automated testing, code reviews, observability, and continuous delivery. Results-oriented leader with a passion for mentoring others, fostering innovation, and operating effectively in a rapidly evolving technology landscape. Preferred Experience contributing to shared platform capabilities, workflow systems, retrieval-based services, or other reusable engineering components. Understanding of financial markets, asset management, or financial instruments. Commitment to Diversity, Equity, and Inclusion: 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, colour, 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.
T. Rowe Price
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 optimal use of technology. As Enterprise AI Architect, you will be at the forefront of firm wide AI activation, working directly with the Chief Architect to define, govern, and accelerate AI adoption across a complex, global institution, translating ambitious strategy into concrete architectural blueprints that are coherent, scalable, secure, and aligned with fiduciary obligations. Responsibilities AI Architecture & Strategy: Define and maintain the 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 MCP and model context protocols. Create AI reference architectures for investment and front to back office use cases. Drive integration of AI capabilities with core data platforms and content platforms, leveraging RAG and MCP to unlock proprietary data assets. Governance & Risk: Design and operationalize AI governance, covering model risk management, explainability, bias monitoring, data lineage, and regulatory compliance. Evolve model evaluation and selection criteria for frontier and open weight models, balancing capability, performance, cost, and latency. Partner with Legal, Compliance, and Risk to embed AI risk controls into architecture review processes. Define data privacy and security patterns for AI workloads. Enterprise Alignment & Stakeholder Leadership: Translate business strategies from investment, distribution, finance, and operations into AI architecture requirements and roadmaps. Guide the Architecture Review Board (ARB) for AI proposals. Produce executive grade artifacts-technology radars, strategic assessments, vendor evaluations, ADRs-to serve as an AI thought leader and trusted advisor. Technology Scanning & Innovation: Operate continuous scanning of frontier AI developments and distill insights for senior leadership. Evaluate and pilot emerging AI capabilities with clear proof of concept criteria. Maintain relationships with AI vendors, cloud hyperscalers, research institutions, and peer firms for benchmarking. Team, Collaboration & Community: Mentor architects and engineers on AI design patterns and responsible AI practices. Contribute to Enterprise Architecture practice development, including standards and templates, and represent the firm in external AI forums and industry groups. Qualifications Bachelor's degree in computer science, engineering, mathematics, statistics, or related fields. 10+ years in technology architecture, 3-5 years focused on AI/ML architecture in large, complex enterprise environments. Hands on command of modern AI stack: LLM APIs and fine tuning, vector databases, RAG, embedding pipelines, prompt engineering, and agent orchestration frameworks (LangChain, AutoGen, or equivalents). Practical exposure to agentic AI architecture, multi agent coordination, and MCP or similar frameworks. Experience with enterprise data platforms (Snowflake, Databricks, or comparable) and integrating AI on top of them. Strong understanding of cloud native architecture on AWS, including AI/ML services such as Bedrock. Ability to produce high quality architecture artifacts-reference architectures, technology radars, ADRs, capability assessments. Familiarity with enterprise architecture frameworks such as TOGAF and operation within Architecture Review Boards. Excellent communication skills, synthesizing complex technical topics for non technical stakeholders. Preferred Master's or PhD in Computer Science, AI, ML, Data Science, or related field. Experience in financial services (asset management, investment banking, fintech) with knowledge 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 for AI, blockchain/DLT, etc. Work Flexibility This role is eligible for hybrid work, with up to three days per week from home.
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 optimal use of technology. As Enterprise AI Architect, you will be at the forefront of firm wide AI activation, working directly with the Chief Architect to define, govern, and accelerate AI adoption across a complex, global institution, translating ambitious strategy into concrete architectural blueprints that are coherent, scalable, secure, and aligned with fiduciary obligations. Responsibilities AI Architecture & Strategy: Define and maintain the 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 MCP and model context protocols. Create AI reference architectures for investment and front to back office use cases. Drive integration of AI capabilities with core data platforms and content platforms, leveraging RAG and MCP to unlock proprietary data assets. Governance & Risk: Design and operationalize AI governance, covering model risk management, explainability, bias monitoring, data lineage, and regulatory compliance. Evolve model evaluation and selection criteria for frontier and open weight models, balancing capability, performance, cost, and latency. Partner with Legal, Compliance, and Risk to embed AI risk controls into architecture review processes. Define data privacy and security patterns for AI workloads. Enterprise Alignment & Stakeholder Leadership: Translate business strategies from investment, distribution, finance, and operations into AI architecture requirements and roadmaps. Guide the Architecture Review Board (ARB) for AI proposals. Produce executive grade artifacts-technology radars, strategic assessments, vendor evaluations, ADRs-to serve as an AI thought leader and trusted advisor. Technology Scanning & Innovation: Operate continuous scanning of frontier AI developments and distill insights for senior leadership. Evaluate and pilot emerging AI capabilities with clear proof of concept criteria. Maintain relationships with AI vendors, cloud hyperscalers, research institutions, and peer firms for benchmarking. Team, Collaboration & Community: Mentor architects and engineers on AI design patterns and responsible AI practices. Contribute to Enterprise Architecture practice development, including standards and templates, and represent the firm in external AI forums and industry groups. Qualifications Bachelor's degree in computer science, engineering, mathematics, statistics, or related fields. 10+ years in technology architecture, 3-5 years focused on AI/ML architecture in large, complex enterprise environments. Hands on command of modern AI stack: LLM APIs and fine tuning, vector databases, RAG, embedding pipelines, prompt engineering, and agent orchestration frameworks (LangChain, AutoGen, or equivalents). Practical exposure to agentic AI architecture, multi agent coordination, and MCP or similar frameworks. Experience with enterprise data platforms (Snowflake, Databricks, or comparable) and integrating AI on top of them. Strong understanding of cloud native architecture on AWS, including AI/ML services such as Bedrock. Ability to produce high quality architecture artifacts-reference architectures, technology radars, ADRs, capability assessments. Familiarity with enterprise architecture frameworks such as TOGAF and operation within Architecture Review Boards. Excellent communication skills, synthesizing complex technical topics for non technical stakeholders. Preferred Master's or PhD in Computer Science, AI, ML, Data Science, or related field. Experience in financial services (asset management, investment banking, fintech) with knowledge 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 for AI, blockchain/DLT, etc. Work Flexibility This role is eligible for hybrid work, with up to three days per week from home.
T. Rowe Price
About the Role KM3: The T Rowe Price Fixed Income Technology team is looking for a Senior Quant Developer with banking/financial services experience; specifically coming from a Front Office, quantitative background with a working knowledge of Fixed Income markets, securities, and analytics. The successful candidate will help expand the team in Baltimore/London to support the development and delivery of quantitative research and models in partnership with our Fixed Income Quantitative Research Analysts (Quants). This is a hands-on, full development lifecycle role-from gathering requirements to proposing and delivering solutions-which provides an opportunity to solve complex business, logic, data, and technical challenges. This is a unique role where you can leverage both your exceptional technology skills and your financial knowledge. You will be called upon to leverage your technical and analytical expertise to solve both computational and data-related problems. You will work with smart, talented people across our business. We will expect you to be agile, to lead and to think outside the box. In return, we will give you challenging work that has a meaningful impact as well as opportunities to learn and grow and operate within a collaborative culture that encourages every member of our team to bring their point of view to the table-because that is how we help our clients succeed. What You'll Do Partner independently with Quants to translate research into production-ready models that inform the investment decision-making process. Work on Quant models in rates, credit & FX. Support the research-to-production lifecycle - from validation and deployment through ongoing production support. Architect and improve proprietary models and production systems for reliability, resiliency, scalability, and performance. Lead code and model reviews, and own the operational health of your systems - monitoring, alerting, incident response, and technical debt. Operate as a hands-on individual contributor - leading work streams within broader projects, and a small team when a specific project calls for it. Minimum Qualifications Advanced degree in a quantitative field (Computer Science, Mathematics, Physics, Engineering, or Financial Engineering). 5+ years of progressive software engineering experience. Front-office software development experience within Asset Management, a Hedge Fund, an Investment Bank, or FinTech. Advanced Python, and proficiency on Linux with common scripting languages. Strong analytical skills, including working with and analyzing large data sets. Strong grasp of testing approaches, with a focus on performance and accuracy. Experience delivering in an Agile environment. Preferred Qualifications Working knowledge of Fixed Income markets and securities (focus on cash bonds/rates), including pricing, curve construction, and risk analytics (duration, convexity, DV01). Advanced mathematical knowledge (e.g., statistics, time-series analysis, asset-pricing theory, optimization algorithms). Strong knowledge of one or more SQL/NoSQL databases. Experience building containerized applications and deploying to cloud (AWS, GCP, Azure, or similar). Experience with web-based development and data visualization for large, complex data sets. Familiarity with fixed income data sources (e.g., Bloomberg, ICE, FINRA TRACE). Work Flexibility This position is eligible for hybrid working with up to three days per week from home. T. Rowe Price is an asset management firm focused on delivering global investment management excellence and retirement services that investors can rely on-now, and over the long term.
About the Role KM3: The T Rowe Price Fixed Income Technology team is looking for a Senior Quant Developer with banking/financial services experience; specifically coming from a Front Office, quantitative background with a working knowledge of Fixed Income markets, securities, and analytics. The successful candidate will help expand the team in Baltimore/London to support the development and delivery of quantitative research and models in partnership with our Fixed Income Quantitative Research Analysts (Quants). This is a hands-on, full development lifecycle role-from gathering requirements to proposing and delivering solutions-which provides an opportunity to solve complex business, logic, data, and technical challenges. This is a unique role where you can leverage both your exceptional technology skills and your financial knowledge. You will be called upon to leverage your technical and analytical expertise to solve both computational and data-related problems. You will work with smart, talented people across our business. We will expect you to be agile, to lead and to think outside the box. In return, we will give you challenging work that has a meaningful impact as well as opportunities to learn and grow and operate within a collaborative culture that encourages every member of our team to bring their point of view to the table-because that is how we help our clients succeed. What You'll Do Partner independently with Quants to translate research into production-ready models that inform the investment decision-making process. Work on Quant models in rates, credit & FX. Support the research-to-production lifecycle - from validation and deployment through ongoing production support. Architect and improve proprietary models and production systems for reliability, resiliency, scalability, and performance. Lead code and model reviews, and own the operational health of your systems - monitoring, alerting, incident response, and technical debt. Operate as a hands-on individual contributor - leading work streams within broader projects, and a small team when a specific project calls for it. Minimum Qualifications Advanced degree in a quantitative field (Computer Science, Mathematics, Physics, Engineering, or Financial Engineering). 5+ years of progressive software engineering experience. Front-office software development experience within Asset Management, a Hedge Fund, an Investment Bank, or FinTech. Advanced Python, and proficiency on Linux with common scripting languages. Strong analytical skills, including working with and analyzing large data sets. Strong grasp of testing approaches, with a focus on performance and accuracy. Experience delivering in an Agile environment. Preferred Qualifications Working knowledge of Fixed Income markets and securities (focus on cash bonds/rates), including pricing, curve construction, and risk analytics (duration, convexity, DV01). Advanced mathematical knowledge (e.g., statistics, time-series analysis, asset-pricing theory, optimization algorithms). Strong knowledge of one or more SQL/NoSQL databases. Experience building containerized applications and deploying to cloud (AWS, GCP, Azure, or similar). Experience with web-based development and data visualization for large, complex data sets. Familiarity with fixed income data sources (e.g., Bloomberg, ICE, FINRA TRACE). Work Flexibility This position is eligible for hybrid working with up to three days per week from home. T. Rowe Price is an asset management firm focused on delivering global investment management excellence and retirement services that investors can rely on-now, and over the long term.