At a Glance
- Tasks: Lead the design and delivery of innovative AI systems in a collaborative environment.
- Company: Join T. Rowe Price, a global leader in asset management with over 85 years of experience.
- Benefits: Enjoy competitive salary, flexible work options, and resources for career growth.
- Other info: Diverse and inclusive culture that values your unique perspective.
- Why this job: Make a real impact by shaping the future of AI in finance.
- Qualifications: 8+ years in software engineering with strong AI and cloud-native experience.
The predicted salary is between 63000 - 77000 £ per year.
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, a s 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.
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 Java Script, 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.
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.
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Lead AI Software Engineer - TRP Labs London employer: SwiftCruit
At Global, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London that fosters innovation and collaboration. As a Senior Machine Learning Engineer, you'll not only have the opportunity to influence millions through cutting-edge AI solutions but also benefit from a culture that encourages professional growth, cross-functional partnerships, and the development of reusable engineering standards. With a commitment to employee development and a focus on impactful projects, Global is the ideal place for those seeking meaningful and rewarding careers in data science and machine learning.
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We think this is how you could land Lead AI Software Engineer - TRP Labs London
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We think you need these skills to ace Lead AI Software Engineer - TRP Labs London
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Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at SwiftCruit.
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How to prepare for a job interview at SwiftCruit
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Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
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