Job opportunity
Senior Salesforce AI Engineer
Canadian Cancer Society
Build Salesforce AI solutions with Apex and Agentforce for the Canadian Cancer Society through a hybrid work model across Canada. Shape secure, data-driven capabilities.
The Canadian Cancer Society seeks a hands-on Senior Salesforce AI Engineer to design, build, and scale enterprise solutions. You will apply Apex, Flow, Lightning Web Components, SOQL/SOSL, APIs, data modeling, and automation. The work includes Agentforce, Einstein, large language models, responsible AI, and secure integrations.
Key Responsibilities:
Build AI-driven Salesforce solutions using Agentforce, Einstein, and LLM workflows
Develop Apex, Flow, LWC, APIs, objects, and data models
Translate business opportunities into technical designs and production solutions
Guide development, testing, deployment, and support activities
Improve DevOps, CI/CD, testing, and release governance practices
Requirements:
Five or more years developing Salesforce in complex enterprise environments
Strong Apex, LWC, SOQL/SOSL, Flow, and automation expertise
Understanding of Salesforce architecture, security, data modeling, and integrations
Experience with DevOps, CI/CD, source control, and release management
Knowledge of generative AI, agents, prompt design, and responsible AI
Apply Salesforce engineering, AI capabilities, and secure architecture to advance data-driven solutions at the Canadian Cancer Society.
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Apply on source site The Canadian Cancer Society seeks a hands-on Senior Salesforce AI Engineer to design, build, and scale enterprise solutions. You will apply Apex, Flow, Lightning Web Components, SOQL/SOSL, APIs, data modeling, and automation. The work includes Agentforce, Einstein, large language models, responsible AI, and secure integrations.
Key Responsibilities:
Build AI-driven Salesforce solutions using Agentforce, Einstein, and LLM workflows
Develop Apex, Flow, LWC, APIs, objects, and data models
Translate business opportunities into technical designs and production solutions
Guide development, testing, deployment, and support activities
Improve DevOps, CI/CD, testing, and release governance practices
Requirements:
Five or more years developing Salesforce in complex enterprise environments
Strong Apex, LWC, SOQL/SOSL, Flow, and automation expertise
Understanding of Salesforce architecture, security, data modeling, and integrations
Experience with DevOps, CI/CD, source control, and release management
Knowledge of generative AI, agents, prompt design, and responsible AI
Apply Salesforce engineering, AI capabilities, and secure architecture to advance data-driven solutions at the Canadian Cancer Society.
#J-18808-Ljbffr