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Senior Data Architect to assist enterprise AI initiatives; AI & GenAI) and to design and implement modern scalable

Job in Edmonton, Alberta, Canada
Listing for: S.I. Systems Ltd.
Full Time position
Listed on 2026-10-12
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Engineering, Data Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 170000 CAD Yearly CAD 120000.00 170000.00 YEAR
Job Description & How to Apply Below
Senior Data Architect to assist with enterprise AI initiatives (AI & GenAI) and to design and implement modern scalable data platforms (Azure) and AI innovation using LLM, RAG, and MLOps/LLMOps frameworks

Our utilities client is seeking a Senior Data Architect to assist with enterprise AI initiatives (AI & GenAI) and to design and implement modern scalable data platforms (Azure) and AI innovation using LLM, RAG, and MLOps/LLMOps frameworks

Candidates must be located in Calgary or Edmonton. Hybrid work model of in‑office and WFH

Must Haves:

  • 8+ years of experience as a Data Architect or Solution Architect with a focus on MS Azure enterprise data architecture focusing on scalable platforms
    , hybrid lake houses
    , and analytical databases
  • Experience with AI & GenAI architecture including LLM, RAG
    , model fine‑tuning, and NLP
  • Experience with MLOps/LLMOps frameworks supporting end‑to‑end production deployment and operationalization
  • Experience in ETL/ELT, CDC pipelines
    , batch processing, real‑time streaming, and event‑driven API architectures
  • Master’s degree in Computer Science, AI, Machine Learning, Data Science, Software Engineering, Statistics, or Applied Mathematics

Strong Nice to Haves:

  • PhD in Computer Science, AI, Machine Learning, Data Science, Software Engineering, Statistics, or Applied Mathematics
  • Strong communication skills with Stakeholder management experience
  • Capable of identifying and operationalizing opportunities

Responsibilities

  • Design and implement scalable enterprise data architectures and hybrid lakehouse platforms
  • Architect and operationalize enterprise AI and GenAI initiatives
  • Drive lifecycle management, cost optimization, capacity planning, and resource utilization
  • Deliver batch, streaming, event‑driven API, and CDC data pipelines using ETL/ELT frameworks
  • Develop predictive modeling, forecasting, anomaly detection, recommendation, and optimization solutions
  • Architect executive‑ready dashboards, operational reporting, and intelligent summarization systems
  • Champion programs from requirements discovery through architecture and design

Our utilities client is seeking a Senior Data Architect to assist with enterprise AI initiatives (AI & GenAI) and to design and implement modern scalable data platforms (Azure) and AI innovation using LLM, RAG, and MLOps/LLMOps frameworks

Candidates must be located in Calgary or Edmonton. Hybrid work model of in‑office and WFH

Must Haves:

  • 8+ years of experience as a Data Architect or Solution Architect with a focus on MS Azure enterprise data architecture focusing on scalable platforms
    , hybrid lake houses
    , and analytical databases
  • Experience with AI & GenAI architecture including LLM, RAG
    , model fine‑tuning, and NLP
  • Experience with MLOps/LLMOps frameworks supporting end‑to‑end production deployment and operationalization
  • Experience in ETL/ELT, CDC pipelines
    , batch processing, real‑time streaming, and event‑driven API architectures
  • Master’s degree in Computer Science, AI, Machine Learning, Data Science, Software Engineering, Statistics, or Applied Mathematics

Strong Nice to Haves:

  • PhD in Computer Science, AI, Machine Learning, Data Science, Software Engineering, Statistics, or Applied Mathematics
  • Strong communication skills with Stakeholder management experience
  • Capable of identifying and operationalizing opportunities

Responsibilities

  • Design and implement scalable enterprise data architectures and hybrid lakehouse platforms
  • Architect and operationalize enterprise AI and GenAI initiatives
  • Drive lifecycle management, cost optimization, capacity planning, and resource utilization
  • Deliver batch, streaming, event‑driven API, and CDC data pipelines using ETL/ELT frameworks
  • Develop predictive modeling, forecasting, anomaly detection, recommendation, and optimization solutions
  • Architect executive‑ready dashboards, operational reporting, and intelligent summarization systems
  • Champion programs from requirements discovery through architecture and design
Disclaimer:
AI may be used in evaluating candidates.
This posting is for an existing vacancy.
Position Requirements
10+ Years work experience
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