AI & Data Engineering Architect

About the role

Are you ready to make an impact at DTCC? Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.

What you'll do

• Lead the architecture, design, and implementation of enterprise-scale Agentic AI platforms and intelligent automation solutions that support critical business functions…
• Define and drive the organization's AI/ML architecture strategy, reference architectures, standards, and best practices across data, model, infrastructure
• Design and implement advanced multi-agent systems using frameworks such as LangGraph, AutoGen, LlamaIndex , and emerging agent orchestration technologies
• Architect complex Retrieval-Augmented Generation (RAG) solutions leveraging vector databases, knowledge graphs, semantic search, and enterprise data platforms
• Develop scalable agentic workflows incorporating tool-calling, memory management, planning, reasoning, reflection, and human-in-the-loop capabilities

What you need

• Machine learning
• MLOps
• Python
• Snowflake
• LLMs
• AWS
• Any graduate

Good to have

• dbt
• Airflow
• Docker
• Kubernetes
• CI/CD
• Azure