AI Systems Architect in Winnipeg

AI Systems Architect in Winnipeg

Winnipeg Freelance 135000 - 165000 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Design AI intelligence systems for innovative B2B platforms and enhance creative workflows.
  • Company: Join a cutting-edge design services company focused on AI-driven solutions.
  • Benefits: Flexible contract hours, potential for full-time, and opportunities to shape the future of AI.
  • Other info: Work in a dynamic environment with opportunities for professional growth.
  • Why this job: Be at the forefront of AI technology and make a real impact in the industry.
  • Qualifications: Experience in designing AI systems and understanding memory and retrieval strategies.

The predicted salary is between 135000 - 165000 $ per year.

We’re building an AI intelligence infrastructure embedded inside a B2B platform used by consumer brands to manage creative work, assets, and workflows. This infrastructure is designed to support a wide range of intelligent and intuitive product features, including conversational interfaces, image generation, contextual recommendations, automation, analysis, and decision support.

We’re looking for a senior AI Systems Architect to design the foundational intelligence layer that powers these capabilities in a way that is reliable, evolvable, and cost‑controlled.

Responsibilities

  • You will own the design of the AI intelligence layer and this includes:
    • Designing a clear intelligence architecture that supports multiple AI‑driven features
    • Defining a robust memory taxonomy (short‑term, long‑term, client‑level, org‑level, and meta memory)
    • Designing RAG‑based retrieval systems that serve different product use cases
    • Defining retrieval + reasoning flows that adapt to intent, context, and confidence
    • Establishing failure handling and guardrail strategies for production AI systems
    • Designing idempotent AI workflows for actions, updates, and automation
    • Establishing cost controls, usage boundaries, and observability
    • Designing evaluation and feedback loops so intelligence improves through use

Deliverables

  • Memory schemas and retrieval strategies
  • Interface contracts and reference patterns for implementation
  • A Phase‑2 build plan outlining how intelligence evolves post‑MVP

What You'll Not Do

  • Building UI or frontend features
  • Acting as a generalist full‑stack developer
  • Shipping one‑off demos or prototypes
  • Writing large amounts of production code
  • Optimizing prompts in isolation from system design

Desired Profile

  • Have designed AI intelligence systems inside real products
  • Think in terms of systems, state, and failure modes
  • Are fluent in RAG, memory design, and retrieval strategies
  • Care deeply about idempotency, reliability, and cost control
  • Can guide engineers through clear abstractions and contracts

Opportunity

Fractional / Contract 10–20 hours per week. Opportunity for full‑time employment.

How to Apply

  • Examples of production AI systems you’ve architected
  • How you think about memory, retrieval, and reasoning
  • Any diagrams, writing, or artifacts that show your system‑level thinking

Seniority level: Mid‑Senior level

Employment type: Contract

Job function: Engineering and Information Technology

Industries: Design Services

AI Systems Architect in Winnipeg employer: DarkRoast Design

Join a leading technology firm in Canada that values innovation and collaboration, offering a dynamic work culture where your expertise as a Senior AI Systems Architect will directly contribute to cutting-edge AI-driven solutions. With flexible hours and the potential for full-time employment, you'll have ample opportunities for professional growth and development while working alongside a team of passionate experts dedicated to pushing the boundaries of technology.

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Contact Details:

DarkRoast Design Recruitment Team

We think you need these skills to ace AI Systems Architect in Winnipeg

AI Intelligence Architecture Design
Memory Taxonomy Definition
RAG-based Retrieval Systems
Retrieval and Reasoning Flows
Failure Handling Strategies
Idempotent AI Workflows
Cost Control and Usage Boundaries