Senior AI Engineer to design, build, and productionize secure agentic AI applications (RAG, MCP, multi step agents) for a leading Canadian digital bank.
Our financial services client is seeking a Senior AI Engineer (10+ years) to design, build, and productionize secure agentic AI applications using RAG, MCP servers, and multi-step reasoning workflows

Join a leading Canadian digital banking environment delivering agentic AI initiatives focused on scalable, production-grade applications. This role supports the development of LLM-powered systems including retrieval-augmented generation (RAG), structured outputs, MCP servers, and secure microservices. The position works closely with product, data, engineering, platform, and security stakeholders to deliver enterprise AI capabilities. Current initiatives focus on protected agent development, platform scalability, and production-ready AI engineering.

Must Haves

10+ years building production-grade Python applications using Scikit-learn, Pandas, NumPy, and Matplotlib/Seaborn

Hands-on delivery of LLM-powered applications including RAG, agents, structured outputs, and prompt safety

Production experience building and consuming MCP servers including endpoints, schemas, and access boundaries

Production implementation of OAuth 2.0 , OpenID Connect, and SAML within microservices and API authentication environments

Education in computer science, engineering, data science, or a related field

Nice to Have

Experience with Agentic AI frameworks and multi-step AI reasoning processes

Experience with MLOps tools including Git, Docker, and CI/CD for machine learning models

Experience building NLP, IVR, or contact center intelligence applications

Familiarity with Google Vertex AI





Finance or banking industry experience

Responsibilities

Design and productionize LLM-powered and agentic AI applications

Build and consume MCP servers with defined schemas, endpoints, and access boundaries

Develop secure, low-latency services and microservices with authentication and authorization controls

Partner with product, data, engineering, platform, and security stakeholders to deliver AI capabilities

Ensure systems are testable, observable, resilient, and supported by automated testing

Contribute to architectural discussions and evolving AI development practices

Mentor peers through code reviews and design discussions

Our financial services client is seeking a Senior AI Engineer (10+ years) to design, build, and productionize secure agentic AI applications using RAG, MCP servers, and multi-step reasoning workflows

Join a leading Canadian digital banking environment delivering agentic AI initiatives focused on scalable, production-grade applications. This role supports the development of LLM-powered systems including retrieval-augmented generation (RAG), structured outputs, MCP servers, and secure microservices. The position works closely with product, data, engineering, platform, and security stakeholders to deliver enterprise AI capabilities. Current initiatives focus on safe agent development, platform scalability,



and production-ready AI engineering.

Must Haves

10+ years building production-grade Python applications using Scikit-learn, Pandas, NumPy, and Matplotlib/Seaborn

Hands-on delivery of LLM-powered applications including RAG, agents, structured outputs, and prompt safety

Production experience building and consuming MCP servers including endpoints, schemas, and access boundaries

Production implementation of OAuth 2.0 , OpenID Connect, and SAML within microservices and API authentication environments

Education in computer science, engineering, data science, or a related field

Nice to Have

Experience with Agentic AI frameworks and multi-step AI reasoning processes

Experience with MLOps tools including Git, Docker, and CI/CD for machine learning models

Experience building NLP, IVR, or contact center intelligence applications

Familiarity with Google Vertex AI

Finance or banking industry experience

Responsibilities

Design and productionize LLM-powered and agentic AI applications

Build and consume MCP servers with defined schemas, endpoints, and access boundaries

Develop secure, low-latency services and microservices with authentication and authorization controls

Partner with product, data, engineering, platform, and security stakeholders to deliver AI capabilities

Ensure systems are testable, observable, resilient, and supported by automated testing

Contribute to architectural discussions and evolving AI development practices

Mentor peers through code reviews and design discussions

Disclaimer:

AI may be used in evaluating candidates.

This posting is for an existing vacancy.

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📌 Senior AI Engineer to design, build, and productionize secure agentic AI applications (RAG, MCP, mul (Ontario)
🏢 S.I. Systems
📍 Ontario