We are looking for a Staff Engineer, AI & Engineering who can bridge deep software engineering expertise with practical AI implementation. This role is ideal for a senior technical leader who has built scalable software systems and has experience leveraging AI technologies to solve complex business problems. You will partner closely with Engineering, Product, Data, and Technology leaders to design and deliver modern, resilient, and intelligent solutions. While experience with AI and machine learning technologies is significant, this role is fundamentally an engineering leadership position focused on architecture, platform development, system design, and software delivery excellence. This is a hands-on role requiring strong technical depth, architectural thinking and the ability to influence engineering direction across multiple teams. You will play a lead technical role in designing and delivering AI-enabled solutions across the enterprise. 1. Build & Ship AI Applications (Primary Focus)

Design, develop, and deploy

AI-powered applications and workflows Write production-quality code across: Backend services and APIs AI orchestration layers and agents Enterprise integrations Rapidly prototype solutions and

iterate them into scalable production systems Own delivery

end-to-end: build, test, deploy, monitor, and improve 2. Design Practical, Scalable AI Systems

Translate use cases into

clear, implementable system designs Make architecture decisions that balance: Speed of delivery Scalability and reliability Cost and operational efficiency Define patterns for:



API-first integrations AI orchestration and workflows Reusable services and components Ensure systems are

simple enough to build quickly

, but

structured enough to scale 3. Integrate AI into Real Enterprise Workflows

Embed LLM capabilities into

products, internal tools, and business processes Build and maintain

APIs and system integrations Implement

agent workflows and orchestration logic

that solve real operational problems Optimize systems for

performance, resilience, and cost efficiency 4. Partner with Business & Deliver Outcomes

Work directly with stakeholders to

understand problems and validate solutions Translate requirements into

working software quickly (days/weeks, not months) Iterate based on feedback and usage to drive

measurable impact 5. Contribute to Engineering Standards & Reuse

Build and contribute to

shared libraries, templates, and services Establish

practical patterns based on real implementations Help evolve internal platforms through

code and working solutions

, not just design artifacts 6. Build Within a Governed AI Environment

Implement

secure and reliable AI solutions in practice

, including:



Prompt safety and validation Injection/misuse prevention Observability and traceability Align implementations with

enterprise security, privacy, and compliance requirements Technology Environment

Cloud & Platform:

Microsoft ecosystem (Azure) AI Models:

Claude and other enterprise-approved LLMs Architecture Style:

API-first, event-driven, and modular services Core Focus: AI application engineering Orchestration and agent workflows Enterprise integrations Hands-On Engineering Strength (Critical)

8+ years of software engineering experience building and delivering scalable, production-grade applications and platforms.Demonstrated success leading complex technical initiatives from design through deployment and ongoing operations.Strong engineering fundamentals with the ability to influence technical direction across teams and organizations. System Design & Architecture Judgment Deep expertise in designing scalable, resilient, and maintainable software architectures. Experience making trade-offs across: delivery speed vs scalability simplicity vs flexibility Can move fluidly between coding and design thinking AI / GenAI Development

3+ years of hands-on experience building and deploying AI/Generative AI solutions in production environments. Strong understanding of: Prompt design and evaluation Agent-based workflows and orchestration Integrating AI into production systems Ability to debug, tune, and improve AI behavior in code

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📌 Staff Engineer (AI & Engineering) (Winnipeg)
🏢 eqbank
📍 Winnipeg