Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Metro location and corporate brand increase competition, but niche Salesforce+AI skills limit applicant pool.
Salesforce engineering and integrations are moderately transferable across industries despite AI specialization.
Mandatory 8+ years, Salesforce certifications, and specific AI integrations make filters strict.
Design and deliver scalable enterprise Salesforce solutions integrating AI capabilities like Data Cloud, Agentforce, Einstein AI, and external AI platforms.
Lead technical architecture discussions, build reusable frameworks, and drive platform modernization including technical debt reduction.
Mentor engineering teams through code and design reviews while ensuring security, scalability, and governance compliance.
8+ years of Salesforce engineering and software development experience.
Expertise in Apex, Lightning Web Components, SOQL, SOSL, Flows, Salesforce APIs, REST APIs, Platform Events, and enterprise integrations.
Hands-on experience or strong knowledge of Salesforce AI components (Data Cloud, Agentforce, Einstein AI, Prompt Builder, Model Builder) and integrating AI platforms like OpenAI, Azure OpenAI, Anthropic, Gemini, or AWS Bedrock.
Strong understanding of Salesforce security, governor limits, sharing model, performance optimization, and experience with Git, CI/CD, automated testing, and Agile delivery.
Deep technical expertise in Salesforce platform architecture with proven ability to design enterprise-scale solutions incorporating AI technologies.
Experienced in leading architectural decisions and mentoring engineering teams in large digital transformation projects.
Strong background in AI integrations, including prompt engineering, RAG, vector databases, secure AI application development, and familiarity with microservices or event-driven architecture.