Lead AI Software Engineer - TRP Labs London

United States Digital Space LLC; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

United States Digital Space LLC in London seeks an experienced Lead Software Engineer to lead the design and delivery of production-grade AI systems within our AI Engineering team. You will mentor engineers, define architecture, and scale AI products across the firm.

You will work with business stakeholders and global teams to incubate and mature AI solutions, ensuring production readiness, observability, and responsible AI practices in a Build-Operate-Transfer model.

Qualifications

• 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.

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.

Skills

Leadership

AWS

Java

Python

JavaScript

Cloud-native

Mentoring

CI/CD

Observability

Safety controls

Education

CS degree or equivalent

Tools

Docker

Kubernetes

Job description

At the company, 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 the company 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 the company. 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 the company, 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.

the company 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.