Platform Architect AI & Core Platforms

ABOUT THE ROLE

We're looking for a Platform Architect to help design, build, and evolve the Core Platforms underpinning

our fintech products, with a strong focus on bringing modern AI capabilitiesLLMs, RAG, and agentic

workflowsinto production.

This is a hands-on engineering role, not a strategy-only position. You'll build alongside engineering teams

while setting technical direction, creating reusable platform services, prototyping AI-driven capabilities,

and raising the engineering bar across the organization. Your scope spans multiple functions and product

areas, supporting the platform as a whole rather than a single product.

Role & responsibilities

Design, build, and evolve reusable Core Platform capabilities that enable engineering teams to build on a

common foundation.

Modernize existing platform components by replacing legacy patterns with scalable, cloud-native

architecture.

Design and deliver LLM, RAG, and agentic AI systems from prototype through production.

Provide technical leadership through architecture reviews, engineering guidance, and best practices.

Troubleshoot and optimize platform performance, reliability, and scalability in production.

Partner with engineering, data science, and product teams across multiple platform initiatives.

Preferred candidate profile

Python (preferred) or Java; REST APIs and microservices

AWS or another major public cloud; Docker and Kubernetes

Distributed systems fundamentals; SQL and NoSQL databases

Git and CI/CD; system performance troubleshooting

Hands-on experience building an LLM-powered application (RAG or agentic) using LangChain,

LangGraph, CrewAI, AutoGen, or similar

GOOD TO HAVE

Multiple agentic AI frameworks and MCP/tool integration patterns

Prompt engineering

Kafka, Pulsar, or other messaging/event-streaming systems

Spark, Airflow, or other data engineering frameworks

CAREERS • CORE PLATFORM & DATA ENGINEERING 2

Prometheus, Grafana, OpenTelemetry, ELK

IAM and security fundamentals

MLOps, model evaluation, and AI guardrails

Experience deploying open-source LLMs

Fintech or other regulated distributed systems experience

Open-source contributions or active technical community involvement.