Senior Business Analysts to support on healthcare interoperability initiatives that enable the

S.i. Systems; Ottawa; Presencial; CAD 120 000 - 180 000; Tempo integral

Resumo da oferta

S.i. Systems is seeking an experienced AI/ML Engineer to design, deploy, and secure scalable AI solutions for mission-critical initiatives in Ottawa.

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to deliver production-grade ML applications. Responsibilities include building ETL data pipelines, metadata catalogs, REST APIs, and SDK integrations, while collaborating with product, security, and engineering teams to implement secure coding, DevOps, and

Qualificações

• Proficiency in Python for AI/ML development including REST APIs and SDK integrations.

Responsabilidades

• Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.

Conhecimentos

Python

LLMs

RAG

Prompt engineering

Multi-agent orchestration

LangGraph

LangChain

Cloud AI services

ETL pipelines

Metadata catalogs

Ontologies

Secure coding

CI/CD

REST APIs

SDK integrations

Technical communication

Ferramentas

AWS GovCloud

Google GovCloud

Azure IL5+

Vertex AI

AWS Bedrock

LangGraph

LangChain

Descrição da oferta de emprego

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities

• Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
• Develop and orchestrate multi-agent systems using LangGraph and LangChain.
• Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
• Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
• Develop and maintain REST APIs and SDK integrations.
• Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
• Follow modern secure coding, DevOps, and CI/CD practices.
• Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.

Required Skills & Qualifications

• Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
• Hands-on production experience with LLMs, RAG, and prompt engineering.
• Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
• Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
• Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
• Strong understanding of secure coding and CI/CD practices.
• Excellent written and verbal communication skills.

Preferred Qualifications

• Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
• Knowledge of MCP, metadata catalog platforms, and advanced API development.
• Experience working in government, regulated, or security-sensitive cloud environments.
• Familiarity with relevant compliance and security standards.