AI Engineer - AI Platform Engineering

United States Digital Space LLC; Toronto; On-site; CAD 140,000 - 210,000; Full time

Job summary

the company in Vancouver, Canada, is seeking a senior platform engineer to design, build, and harden AI infrastructure that powers enterprise agentic AI systems and persona-driven workflows. You will work across the full AI platform stack, including orchestration, governance, and distribution to deliver compliant, production-grade outcomes.

This role emphasizes reliability, extensible architectures, and collaboration with architects, analysts, developers, and project managers to scale platforms

Qualifications

• Experience with LLM orchestration, prompt engineering, or AI infrastructure.
• Familiarity with knowledge management systems, retrieval-augmented generation (RAG), or information retrieval.
• Python and/or TypeScript engineering background with experience building production-grade platform infrastructure.
• Understanding of enterprise governance, audit trails, and compliance requirements in regulated industries.
• Experience with CI/CD pipelines, build systems, and multi-platform distribution.
• Ability to design extensible architectures and communicate technical concepts to both technical and non-technical stakeholders.

Responsibilities

• Design and build AI orchestration infrastructure for multi-step agent workflows.
• Develop knowledge management and retrieval across codebases and documents.
• Build and maintain packaging, validation, and deployment pipelines for AI capabilities.
• Implement governance and compliance frameworks including audit trails and traceability.
• Design extensible architectures that allow new AI capabilities and integrations to be registered and activated.
• Ensure platform reliability through edge case handling and performance optimization.
• Develop conventions and architectural patterns to scale platform across teams.
• Collaborate with solution architects, analysts, developers, and project managers.

Skills

LLM orchestration

Knowledge management

Python

TypeScript

Governance & compliance

CI/CD pipelines

Multi-platform distribution

Tools

CI/CD tooling

Platform tooling

Job description

Job Description

What is the opportunity?

This role is responsible for designing, building, and hardening platform infrastructure that powers enterprise agentic AI systems and persona-driven workflows to optimize productivity and efficiency. You will work across the full stack of an AI platform, including orchestration, knowledge management, governance, and distribution. The platform enables AI agents to understand user intent, assemble organizational knowledge, and deliver compliant, production-grade process outcomes.

This is a foundational engineering role for anyone passionate about building the infrastructure that makes AI work reliably at enterprise scale in a regulated financial services environment.

What will you do?

• Design and build AI orchestration infrastructure that routes requests, manages multi-stakeholder context, and coordinates multi-step long-running agent workflows across enterprise environments


• Develop knowledge management and retrieval systems that enable AI agents to reason across codebases, documentation, and organizational knowledge sources


• Build and maintain packaging, validation, and deployment pipelines that distribute AI capabilities across development tools and platforms


• Implement governance and compliance frameworks including audit trails, policy enforcement, traceability, and quality scoring for regulated environments


• Design extensible architectures that allow new AI capabilities and integrations to be registered, validated, and activated dynamically


• Ensure platform reliability through edge case handling, graceful failure recovery, and performance optimization behind corporate infrastructure


• Develop conventions, standards, and architectural patterns that maintain consistency as the platform scales across teams


• Collaborate with cross-functional teams to align platform capabilities with the needs of solution architects, analysts, developers, and project managers

What do you need to succeed?

Must Have

• Experience with LLM orchestration, prompt engineering, agentic AI systems, or AI infrastructure


• Familiarity with knowledge management systems, retrieval-augmented generation (RAG), or information retrieval


• Python and/or TypeScript engineering background with experience building production-grade platform infrastructure


• Understanding of enterprise governance, audit trails, and compliance requirements in regulated industries


• Experience with CI/CD pipelines, build systems, and multi-platform distribution


• Ability to design extensible architectures and communicate technical concepts to both technical and non-technical stakeholders

Nice to Have

• Cross-platform development experience and familiarity with IDE extension or plugin ecosystems


• Experience with graph databases, knowledge graphs, or federated data systems


• Background in financial services technology or other regulated industries


• Familiarity with developer experience tooling, internal developer platforms, or software catalogs

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable


• Leaders who support your development through coaching and managing opportunities


• Ability to make a difference and lasting impact


• Work in a dynamic, collaborative, progressive, and high-performing team


• A world-class training program in financial services


• Flexible work/life balance options


• Opportunities to do challenging work

Job Skills

Big Data Analytics, Critical Thinking, Decision Making, Industry Knowledge, Machine Learning (ML), Software Engineering, Software Product DesignAdditional Job Details

Address

745 THURLOW ST:VANCOUVERCity:

VancouverCountry:

CanadaWork hours/week:

37.5Employment Type:

Full timePlatform:

TECHNOLOGY AND OPERATIONSJob Type:

RegularPay Type:

SalariedPosted Date:

2026-08-11Application Deadline:

2026-08-31Note:*Applications will be accepted until 11:59 PM on the day prior to the application deadline date above*

Our Employment Opportunities

At the company, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One the company. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. the company strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.