Salesforce AI Engineer
The Salesforce AI Engineer will assess business processes and current AI initiatives to identify opportunities for Salesforce AI implementation. They will support solution delivery from discovery to adoption, ensuring responsible AI practices.
- On-site
- Canada
- Posted Jul 9, 2026
- 1 position
Job summary
Role Summary We are seeking a Salesforce AI Engineer who understands the Salesforce ecosystem and can identify where AI can create measurable business value across sales, service, operations, and analytics. This role is ideal for someone who can assess a client's existing AI landscape, recommend where Salesforce-native AI capabilities should be used, and help drive implementation in selected high-impact use cases. What You Will Do Assess business processes and current AI initiatives to identify opportunities where Salesforce AI can complement or outperform standalone AI efforts. Translate business requirements into Salesforce AI use cases, solution options, and implementation roadmaps. Design and implement solutions using Salesforce ecosystem capabilities such as Sales Cloud, Service Cloud, Data Cloud, Flow, Apex, Lightning Web Components, and Agentforce where appropriate. Partner with business and technology stakeholders to prioritize use cases based on impact, feasibility, data readiness, and governance. Support solution delivery end to end, including discovery, prototyping, integration design, testing, deployment, and adoption. Guide responsible AI implementation, including data security, access controls, human-in-the-loop review, and prompt/response quality management. Required Skills Strong understanding of the Salesforce platform, including data model, security, sharing, automation, integrations, and declarative and programmatic development. Hands-on experience with Salesforce implementation or development, including Apex, Lightning Web Components, Flow, APIs, and standard Salesforce objects. Working knowledge of AI/ML concepts, LLM-based applications, and common enterprise AI patterns such as retrieval, grounding, orchestration, and guardrails. Ability to evaluate business workflows and recommend practical AI use cases that improve productivity, decision-making, customer experience, or operational efficiency. Experience working with cross-functional teams and converting ambiguous business needs into clear technical solutions. Strong communication skills to explain AI options, trade-offs, risks, and implementation plans to both technical and non-technical stakeholders.
What you’ll do
The Salesforce AI Engineer will assess business processes and current AI initiatives to identify opportunities for Salesforce AI implementation. They will support solution delivery from discovery to adoption, ensuring responsible AI practices.
Requirements
Candidates should have a strong understanding of the Salesforce platform and hands-on experience with its implementation and development. Knowledge of AI/ML concepts and the ability to translate business needs into technical solutions are also essential.
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Salesforce
- AI
- ML
- Apex
- Lightning Web Components
- Flow
- APIs
- Data Security
- Integration Design
- Prototyping
- Testing
- Deployment
- Communication
- Cross-Functional Collaboration
- Business Process Assessment
- Implementation Roadmaps
Job areas
- Technology
- Engineering
- Data & Analytics
- Consulting
Additional details
- Minimum experience
- 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available