Application Architect (ADL Workbench)
AI in this role
Join LSEG’s World-Check Risk Intelligence Team
Empowering screening platform with trusted data and cutting-edge technology. World-Check Risk Intelligence provides accurate, reliable information and powerful tools to support compliance with due diligence obligations, including Know Your Customer (KYC) screening and anti-money laundering (AML) requirements.
We are seeking an experienced Application Architect with deep expertise in AWS cloud technologies, proof-of-concept (POC) development, and data modeling. This role is responsible for designing end-to-end platform architectures, user interaction models, application integrations, data flows, and platform dependencies, ensuring alignment with business objectives, enterprise standards, cyber security compliance, and long-term scalability requirements with close collaboration with business stakeholders, product teams, engineering teams, and data specialists to deliver high-quality, future-ready solutions that support organizational growth and digital transformation.
At LSEG, we prioritize equal opportunity and are committed to building diverse teams that foster collaboration and innovation.
Key Responsibilities:
- Design end-to-end application architectures for AWS cloud-native platform solutions.
- Create high-level and low-level solution designs covering application, integration, data, cyber security, and infrastructure components.
- Lead architecture reviews and provide technical governance throughout the project lifecycle.
- Lead rapid prototyping and proof-of-concept initiatives to validate business and technical feasibility.
- Ensure solutions are scalable, reliable, secure, and aligned with enterprise architecture principles.
- Enforce best practices for cloud-native, microservices, and domain-driven and event-driven architectures.
- Present architecture recommendations, findings, and implementation roadmaps to stakeholders.
- Support technology selection and platform assessment activities.
- Collaborate with product, solution architect, and security teams to align solutions with business goals.
- Collaborate with data engineers and analytics teams to ensure alignment between application and data architecture.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 8+ years of software engineering and application architecture experience.
- 3+ years of hands-on AWS solution architecture experience.
- Proven experience designing enterprise-scale applications and domain-driven design (DDD) with solid understanding of AWS architecture, micro-services, APIs, and event-driven systems.
- Experience with DevOps, CI/CD pipelines, and Infrastructure as Code.
- Experience with AI-assisted development tools (e.g. GitHub Copilot, Claude Code)
- Excellent problem-solving, collaboration, communication, and leadership skills across product and engineering teams.
- Proven a positive and high-energy personal commitment with a collaborative mindset.
- Experience with AI/ML services on AWS (Bedrock, SageMaker) is considered an advantage.
- Familiarity with data engineering, machine learning, or AI technologies is considered an advantage.
Career Stage:
ManagerLondon Stock Exchange Group (LSEG) Information:
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.
If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
How we rate this
Application Architect (ADL Workbench) at LSEG rates 22 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used Claude hands-on?
- Walk me through how you've used Copilot in your day-to-day work.
- What are the limits of Bedrock that you've run into, and how did you work around them?
- What's a project where you used Sagemaker hands-on?
- Walk me through how you've used Claude Code in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Claude, Copilot, Bedrock, Sagemaker, and Claude Code. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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