Staff AI Platform & Agent Runtime Engineer
Job Location:
Monthly Salary:
Posted on:
Vacancies:
Job Summary
Purpose of the Job
We are looking for a Staff AI Platform & Agent Runtime Engineer to build the foundation for enterprise-scale AI and agent execution at EQ this role you will architect and operate the platform that powers our next generation of AI agents from experimentation through production enabling teams across the organization to build deploy and scale intelligent agentic workloads securely and reliably.
You will sit at the intersection of platform engineering MLOps and agentic AI shaping the runtime tooling and developer experience that accelerates AI adoption across every business domain. This is a hands-on leadership role for someone who thrives on solving hard infrastructure problems and setting the technical direction for a rapidly evolving space.
Main Activities:
Design build and operate AI-native CI/CD platforms.
Implement secure-by-design AI controls and governance.
Define reliability observability resilience and FinOps practices.
Lead architecture reviews and developer enablement programs.
Provide technical leadership across engineering teams.
Knowledge/Skill Requirements:
7 years of software platform or cloud engineering experience with 3 years in AI/ML platforms or agentic AI systems.
Deep hands-on expertise with Azure (AKS networking private endpoints identity Key Vault) and Azure AI Foundry or equivalent AI platforms.
Proven experience building CI/CD pipelines for ML/LLM workloads (model prompt and agent lifecycle management).
Strong background in distributed systems container orchestration (Kubernetes) and API/SDK design.
Experience with agent frameworks (e.g. Semantic Kernel LangChain AutoGen) and orchestration patterns (memory tools planning).
Solid understanding of LLM inference optimization model routing evaluation and observability.
Track record of establishing platform standards paved paths and developer enablement at scale.
Excellent collaboration and communication skills across engineering security risk and business stakeholders.
Preferred Qualifications
Prior experience in regulated industries (financial services banking insurance).
Familiarity with Microsoft Fabric Power Platform Copilot and Copilot Studio integrations.
Experience with FinOps for AI workloads including cost attribution token accounting and model economics.
Background in Responsible AI model governance and evaluation frameworks.
Contributions to open-source AI/agent platform projects.
Required Experience:
Staff IC
About Company
At Equitable Bank, we specialize in providing branchless financial services that meet the unique needs of all Canadians. Our range of mortgages, savings accounts and investment options are designed to offer the right solutions to match any unique circumstance.
