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Senior Business Analysts to healthcare interoperability initiatives enable

Job in Montréal, Province de Québec, H2B, Canada
Listing for: S.i. Systems
Full Time position
Listed on 2026-10-30
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Cloud Engineer - Software, Machine Learning/ ML Engineer, AWS
Salary/Wage Range or Industry Benchmark: 120000 - 180000 CAD Yearly CAD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: Senior Business Analysts to support on healthcare interoperability initiatives that enable the
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  Lang Graph and Lang Chain .
Deploy AI solutions across secure cloud environments such as  AWS Gov Cloud, Google Gov Cloud, 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, Dev Ops, 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, Lang Graph, and Lang Chain.
Strong knowledge of cloud AI services, including  AWS Gov Cloud, Google Gov Cloud, 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.
Position Requirements
10+ Years work experience
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