Application Architect

AI Application Architect

Role Summary

Serve as the architectural leader defining the reference architecture, guardrails, and delivery patterns for enterprise-grade AI applications. Own the end-to-end architecture across application layers, data, model lifecycle, integration, security, and operations—balancing performance, cost, compliance, and developer productivity. Combine deep application architecture expertise with hands-on Large Language Model (LLM) solution design, retrieval-augmented generation (RAG), and platform-scale governance.

What You’ll Do

Application Architecture

• Define, document, and evolve the target-state architecture for AI-enabled applications and services.

• Design modular, domain-aligned services (microservices, event-driven, API-first), with clear SLAs/SLOs and versioning strategies.

• Establish canonical integration patterns for LLM invocation (synchronous, streaming, async, batch) and system-of-record interactions.

• Conduct architectural runway planning, ADRs (Architecture Decision Records), and blueprint creation for product teams.

• Collaborate with Solution and Enterprise architects. Present architecture designs, trade‑offs, and risk assessments to the Architecture Review Board and other governance forums for approval and alignment.

AI & LLM Solution Design

• Architect production LLM solutions using RAG, tools/agents, embeddings, and vector search; select fit-for-purpose models (hosted, open-source, proprietary).

• Define prompt orchestration and safety layers (prompt templates, guardrails, red-teaming, policy enforcement).

• Partner with Data Science/ML Engineering on model selection, fine-tuning vs. prompt-tuning, distillation, and deployment strategies.

• Design evaluation and feedback loops  and telemetry for continuous improvement.

Platform & LLMOps Enablement

• Define platform capabilities for prompt/version management, evaluation harnesses, model registries, and feature/embedding stores.

• Standardize CI/CD for AI.

• Partner with Platform/DevOps to design observability across application + model layers (traces, metrics, logs, eval KPIs).

Technical Leadership & Mentorship

• Collaborate with Product, Data, Security, Compliance, and SRE to align architecture with business outcomes.

• Coach teams on AI application patterns, anti-patterns, and platform reuse to accelerate delivery.

Innovation & Research

• Evaluate emerging models, frameworks, and vector/agent tooling; run POCs that de-risk delivery and quantify value.

• Curate a living reference architecture and pattern library; drive continuous modernization of the AI stack.

Quality & Delivery Excellence

• Enforce architecture fitness functions and automated checks in CI/CD.

• Champion infrastructure-as-code, policy-as-code, and automated governance.

• Ensure high-quality documentation of interfaces, contracts, runbooks, and operational playbooks.

Qualifications & Experience

• 10+ years in software/application architecture or senior engineering roles delivering complex, distributed systems.

• 2–4+ years hands-on with AI/LLM solution architecture or production ML systems.

• Proven track record designing secure, scalable, compliant enterprise applications.

• Experience guiding multi-team programs and influencing senior stakeholders.

Technical Skills

• Architecture: Distributed systems, microservices, APIs, event-driven patterns, streaming, resiliency, and caching.

• AI/LLM: prompt engineering/orchestration, agentic patterns, evaluation methodologies, model deployment, RAG, embeddings, vector databases.

• LLMOps: Model registries, CI/CD for AI. Experience with Langfuse, Langsmith or W&B

• Cloud & Platform: AWS/Azure; containerization (Docker), orchestration (Kubernetes), serverless where appropriate.

• Languages/Stacks: Proficiency in at least one of Java, Python, or Node.js; familiarity with modern frameworks and API design.

• Agent Frameworks:  Experience with at least one: Langchain, Strands Agents

• Orchestration: , Langgraph, Temporal

Core Competencies

• Systems thinking with strong abstraction and decomposition skills.

• Pragmatic decision-making balancing speed, safety, and cost.

• Excellent written and verbal communication with executive presence.

• Strong influence without authority; facilitates alignment across functions.

• Continuous learning and bias for action; outcome-oriented mindset.

Nice to Have

• Background in cost optimization for AI workloads (token efficiency, quantization, caching strategies).

• Prior work with model risk management, safety testing, and red-teaming.

• Domain Driven Design

• MLOps, classical machine learning, ML Flow, AWS Sagemaker

• Experience with AWS Agent Core

• Datawarehouse, Data Lake, preferably Snowflake

Impact Measures

• Architectural integrity and reuse across product lines.

•  Reduction in time-to-market via reference patterns and platform capabilities.

• Security, privacy, and compliance adherence (audit readiness, incident rates).

• Uplift of engineering practices and cross-team productivity.

Career Stage:

Manager

London 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.