AI Software Engineer - TRP Labs

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. We are seeking an experienced Software Engineer to join T. Rowe Price Labs' AI Engineering team. In this role, you will design, build, and deliver production-grade AI systems and help advance how AI products are developed, 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 senior hands-on engineering role for someone who enjoys solving complex technical problems, building high-quality software, and working with modern AI technologies. You will independently own significant areas of technical delivery, contribute to reusable AI capabilities and engineering best practices, and support other engineers through technical guidance, mentoring, and collaboration.

Design, develop, deploy, and evolve production-grade AI agents and intelligent systems within modern cloud-native architectures. Own significant components of development across the software lifecycle, working independently to solve complex engineering problems and deliver high-quality technical solutions. Apply deep technical expertise to AI engineering problems and serve as a resource for colleagues, contributing to architecture, design, and implementation decisions. Support the Build-Operate-Transfer model by incubating new AI products, hardening them for production, and working with business-aligned technology teams to transition proven solutions for long-term ownership and scale.

Work closely with engineers, product owners, and business stakeholders to translate complex or ambiguous problems into scalable AI solutions that deliver measurable business value. Contribute to reusable AI capabilities and shared platform components across areas such as agent orchestration, tool use, retrieval-based systems, evaluation frameworks, observability, and guardrails. Champion strong engineering practices through software design, code and design reviews, automated testing, continuous integration, and continuous delivery.

Build AI systems with measurable quality, production readiness, operational observability, and appropriate safety controls. Be accountable for technical debt within the software and components you own, and actively contribute to improvements in team engineering practices and standards. Apply sound engineering judgment when making tactical and strategic trade-offs across functionality, scalability, maintainability, risk, and delivery. Mentor and support less-experienced engineers through technical guidance, code reviews, design discussions, and day-to-day collaboration.

Identify opportunities to apply AI in ways that accelerate workflows, improve decision-making, and create scalable business impact across the firm. Business Knowledge Work directly with business stakeholders and product owners to understand priorities, shape technical solutions, and align engineering decisions with business outcomes. Apply strong product and engineering judgment to balance innovation, scalability, risk, fiscal responsibility, and long-term maintainability. Translate complex business needs into robust, scalable technical solutions that support both immediate value delivery and broader enterprise adoption.

Required BS or MS in…