{bc}
Apply
workday

AI Software Engineer - TRP Labs London

T. Rowe Price
London, GBR
Full-time
Mid · 5+ years experience
Onsite
Discovered 1 weeks ago
awsjavajavascriptpython

Full Job Posting

Responsibilities

  • 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.

Qualifications

  • Required
  • BS or MS in Computer Science or a related technical field, or equivalent practical experience.
  • 5+ years of progressive software engineering experience developing applications in languages such as Java, Python, or JavaScript, with experience independently delivering complex technical solutions.
  • Strong hands-on experience designing and delivering cloud-native solutions using AWS or equivalent, containerized microservices, and modern software delivery practices.
  • Experience building 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, and guardrails.
  • Strong analytical, problem-solving, debugging, and system design skills, with the ability to take ownership of complex technical problems and work through them with limited assistance.
  • Experience designing practical APIs, abstractions, data models, and service interfaces that support scalable and maintainable software systems.
  • Strong communication and collaboration skills, with the ability to explain complex AI and engineering concepts clearly to engineering, product, and business audiences.
  • Demonstrated commitment to engineering excellence through automated testing, code and design reviews, observability, and continuous delivery.
  • Ability to make sound tactical and strategic engineering trade-offs and adapt solutions as requirements, constraints, or new information emerge.
  • Ability to provide technical guidance and mentorship to less-experienced engineers and contribute positively to team engineering practices.
  • Results-oriented engineer with a passion for building high-quality software, learning new technologies, 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.
  • Work Flexibility
  • This role is hybrid and requires 2-3 days per week in the London office

Preferred Qualifications

  • Preferred

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at T. Rowe Price

Associate Analyst, Real-Time Desk

Owings Mills, USA

Discovered YesterdayFull-time

Lead Network Engineer (Cisco, Cloud & Network Automation)

Owings Mills, USA

Discovered 2 days agoFull-time

Senior AI Support & Enablement Engineer

Baltimore, USA

Discovered 2 days agoFull-time

Biotech Associate

Baltimore, USA

Discovered 2 days agoFull-time

Sr. Network Engineer (Cisco, Cloud & Network Automation)

Owings Mills, USA

Discovered 2 days agoFull-time

Quantitative Investment Analyst, Multi-Asset

London, GBR

Discovered 3 days agoFull-time

Senior Software Engineer, ESG Technology

London, GBR

Discovered 3 days agoFull-time

Quantitative Investment Analyst, Multi-Asset

London, GBR

Discovered 3 days agoFull-time