ROLE FOCUS: Production quality engineering for Salesforce Agentforce and AI-enabled Salesforce solutions

DELIVERY POSTURE: Hands-on automation architecture, AI evaluation, security testing and release assurance

PRIMARY PLATFORM: Agentforce, Data Cloud, Experience Cloud, Service Cloud and the Salesforce integration ecosystem

CORE TOOLING: Playwright with TypeScript, Apex tests, LWC Jest, API automation, CI/CD and AI evaluation frameworks

About the role

As an Agentic AI Quality Engineering Lead, you will own the end-to-end quality strategy for Salesforce Agentforce implementations. You will establish the automation, evaluation, security, accessibility, evidence and release controls required to move AI agents and Salesforce capabilities into production with confidence.

This is not a traditional manual test-management role. You will combine Salesforce quality engineering with agent evaluation and AI-assisted test automation, working closely with Forward Deployed Engineers, Salesforce architects, business analysts, security specialists and client teams.

Salesforce context: This role is designed specifically for Salesforce and Agentforce delivery, not as a platform-agnostic AI position.

What you will do

- Own the quality strategy across Agentforce agents, Apex, Lightning Web Components, Flows, Data Cloud, Experience Cloud, Service Cloud, APIs, middleware and external tools.
- Design a layered automation architecture covering unit, component, API, integration, UI, end-to-end, security, accessibility and production-validation testing.
- Build and maintain Playwright frameworks in TypeScript using reusable fixtures, page or component abstractions, stable locators, test-data utilities, tagging,



parallel execution and setting-aware configuration.
- Use Playwright traces, screenshots, videos, console logs and network evidence for diagnosis, auditability and defect reproduction.
- Apply Playwright planner, generator and healer patterns to accelerate test creation and maintenance, while retaining human approval for authoritative regression assets.
- Convert approved user stories, acceptance criteria, Salesforce personas and permission models into executable regression suites.
- Integrate automation into GitHub Actions, Azure DevOps, Jenkins or equivalent pipelines, with risk-based pull-request and deployment gates.
- Create Apex unit and integration tests, LWC Jest tests, Flow validation, API and contract tests, and Playwright end-to-end tests.
- Design Agentforce evaluations for topic classification, instruction adherence, action selection, tool invocation, grounding, response quality, fallback and escalation behaviour.
- Lead prompt-injection, jailbreak, indirect-injection, data-leakage, unauthorized-action and privilege-escalation testing.
- Validate Salesforce security controls including CRUD/FLS, sharing, permission sets, user-mode execution, Named Credentials, External Credentials, data masking and Trust Layer controls.
- Define production-readiness criteria, maintain requirements-to-test traceability and provide evidence-based release recommendations.




- Implement production observability for task completion, fallback, escalation, latency, tool failures, grounding failures and policy violations.
- Contribute reusable test skills, validators, datasets, automation components and quality gates to IBM Salesforce delivery assets.

Required skills and experience

Salesforce quality engineering

- 6+ years in software quality engineering or test automation, including at least 3 years testing Salesforce implementations.
- Strong working knowledge of Apex, LWC, Flows, SOQL, Experience Cloud, Service Cloud, Agentforce, Data Cloud, Salesforce security and integration patterns.
- Ability to test Lightning UI behaviour, asynchronous rendering, dynamic identifiers, permission-based layouts and Experience Cloud journeys.
- Hands-on experience with Apex test classes, test-data factories, mocking or stubbing, bulk and negative testing, and asynchronous processing.
- Hands-on experience with LWC Jest testing and accessibility validation.
- Experience testing REST/SOAP APIs, Platform Events, middleware, event-driven processes and external services.
- Experience with sf CLI v2, source-driven delivery, Salesforce environments, Git workflows and CI/CD.
- Expert-level Playwright using TypeScript, including fixtures, projects, storage state, locator strategy, assertions, parallelism, retries, trace viewer and reporters.
- Ability to build maintainable UI automation without brittle selectors or uncontrolled self-healing.
- Experience with Jest and an API automation approach such as Postman/Newman, REST Assured, pytest or equivalent.
- Experience with contract testing, servic

📌 Salesforce Quality Engineering Lead (Quebec City)
🏢 Brunel
📍 Quebec City