AI Engineer - AI Platform Engineering

Socket.dev; Vancouver; On-site; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Total rewards program

Bonuses

Stock options

Flexible benefits

Competitive compensation

Job summary

RBC in Vancouver is seeking a senior platform engineer to design, build, and harden AI infrastructure powering 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.

Qualifications

• Experience with LLM orchestration or AI infrastructure.
• Familiarity with knowledge management systems, retrieval-augmented generation (RAG) or information retrieval.
• Python and/or TypeScript production-grade platform experience.
• Understanding of enterprise governance, audit trails, and compliance 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 that routes requests, manages multi-stakeholder context, and coordinates multi-step long-running agent workflows across enterprise environments.
• Develop knowledge management and retrieval systems enabling AI agents to reason across codebases, documentation, and organizational sources.
• Build and maintain packaging, validation, and deployment pipelines distributing 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 allowing 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 to maintain consistency as the platform scales across teams.
• Collaborate with cross-functional teams to align platform capabilities with needs of solution architects, analysts, developers, and project managers.

Skills

LLM orchestration

Knowledge management

Python/TypeScript

Governance & compliance

CI/CD pipelines

Extensible architectures

Technical communication

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 Design

Additional Job Details

Address: 745 THURLOW ST:VANCOUVER

City: Vancouver

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: TECHNOLOGY AND OPERATIONS

Job Type: Regular

Pay Type: Salaried

Posted Date: 2026-08-11

Application Deadline: 2026-08-31

Note

Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. 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. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.