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Solution Architect - Artificial Intelligence

Job in Calgary, Alberta, D3J, Canada
Listing for: Raise - find a more meaningful working experience
Contract position
Listed on 2026-06-19
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 99.26 - 110 CAD Hourly CAD 99.26 110.00 HOUR
Job Description & How to Apply Below
Position: Solution Architect - Artificial Intelligence )

Solution Architect
- Artificial Intelligence

Pay Rate: $99.26- $110.29/hour
, depending on experience.

Contract Length:
10 Months
.

Location:

Calgary, Alberta
.

Raise is currently hiring a Solution Architect
- Artificial Intelligence on behalf of our client. They’re expanding their team to meet growing needs, making this a unique opportunity to work with an industry leader. Our Client is a market leading financial institution.

The primary pay rate is based on T4 classification; however, we will also consider applications from candidates interested in an INC classification, where applicable.

Description

Our client is transforming how banking works by safely embedding intelligent technologies into their ecosystem. As the Solution Architect
- Artificial Intelligence, you will hold a pivotal technical leadership role. You will be responsible for designing, developing, and planning robust governance frameworks for AI technology solutions as they scale across the enterprise. This role bridges the gap between complex business needs, modern IT capabilities, and stringent financial governance controls to ensure every AI initiative aligns seamlessly with our organizational goals, security posture, and compliance mandates.

Responsibilities
  • Architecture & Design: Design and develop scalable, resilient, and secure enterprise‑grade AI solution architectures. Drive the architectural roadmap for high‑impact initiatives, including the AI Threat Intelligence project and various FY27 strategic AI work streams.
  • Cross‑Platform Integration: Build and maintain cross‑platform AI architectures that transcend a single cloud ecosystem. Seamlessly orchestrate solutions spanning AWS, Azure, and GCP, prioritizing architectural agility over platform‑specific configurations.
  • AI Governance & Compliance: Architect and plan rigorous governance controls for AI deployment. Ensure models adhere to corporate risk management policies, data privacy acts, and ethical AI standards required in a regulated banking environment.
  • Technical Leadership &

    Collaboration:

    Act as a critical bridge between business stakeholders, data science teams, cybersecurity, and IT engineering to ensure technical feasibility meets strategic business intent.
  • Model Lifecycle Management (MLOps): Establish frameworks for model deployment, monitoring, retraining pipelines, and data lineage to ensure operational excellence across the enterprise.
Qualifications
  • 5+ years of experience in technical leadership or solution architecture roles, preferably within a regulated industry like financial services, banking, or cybersecurity.
  • Prior experience designing AI solutions for threat detection, anomaly detection, or cybersecurity monitoring is highly desirable.
  • Deep expertise with Lang Chain or similar LLM orchestration frameworks to build advanced agentic workflows and retrieval‑augmented generation (RAG) pipelines.
  • Hands‑on proficiency with PyTorch and Tensor Flow for building, fine‑tuning, and evaluating complex machine learning models.
  • Clear understanding of data governance, model drift management, bias detection, and compliance controls.
  • Exceptional ability to articulate complex AI concepts to non‑technical executive stakeholders while remaining capable of doing deep‑dive code reviews with engineering teams.
  • Enterprise Cloud AI Platforms:
    • AWS Sage Maker
    • Azure AI Services
    • GCP Vertex AI
  • Education: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Data Science, or a related quantitative IT discipline. (preferred)
  • Certifications (nice to have): AWS Certified Generative AI Developer – Qualified or AWS Certified Solutions Architect – Professional, Microsoft Certified:
    Azure AI Engineer Associate, Google Cloud Professional Machine Learning Engineer, Lang Chain Academy / Lang Graph Certification, Deep Learning.

    AI / Stanford Certification Tracks
Additional Information

Candidates in this role will be working a hybrid schedule of at least 1 day a month in the office.

A requirement for candidates to be considered for this role is to complete a criminal and credit check (including Canadian Credit Risk Score).

We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/non‑visible disabilities.

We have a dedicated webpage for accommodations where you can learn more about what we offer and request accommodation: (Use the "Apply for this Job" box below)..

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