Senior Salesforce Engineer - Digital & Pro

Role summary

Salesforce AI and data delivery

• Design and build Agentforce agents, including topics, instructions, and actions, for sales, broker, and customer-service use cases.
• Create Prompt Builder templates grounded in CRM records and Data 360 data; configure Einstein lead and opportunity scoring, service replies, and conversation summaries.
• Develop Apex, Flow, and Lightning Web Component logic used by agents and to surface AI output to users.
• Build Data 360 data streams, harmonized data models, and calculated insights for AI features.
• Implement retrieval over unstructured project collateral, FAQs, and internal policies using vector search and chunking.
• Coordinate with data owners to keep grounding sources accurate, current, and approved for AI use.
• Integrate Azure OpenAI, Amazon Bedrock, and Anthropic APIs; expose agents to mobile and web channels through the Agent API.

Evaluation, controls, and releases

• Build and run test suites and evaluation sets for agents and prompts before each release, including security and PDPL checks.
• Monitor accuracy, escalation rates, and user feedback; iterate on prompts, actions, and grounding.
• Track AI consumption and credit usage against budget and optimize model and action choices.
• Configure the Einstein Trust Layer, data masking, zero data retention, audit trails, and least-privilege access.
• Maintain human-in-the-loop controls so agents do not make final decisions on regulated matters such as KYC/AML outcomes.
• Manage sandbox strategy and release pipeline using Salesforce CLI, source control, and CI/CD, with security gates before UAT and production.
• Review partner and contractor AI work against agreed standards and document designs, prompts, and evaluation results.

Education and experience

• Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience.
• At least 5 years of hands-on Salesforce development, including at least 1 year delivering Salesforce AI features in production.
• Real estate or another regulated, high-value sales environment experience, including KYC/AML workflows, is highly preferred.

Required skills and certifications

• Required skills include Agentforce, Prompt Builder, Einstein features, Apex, LWC, SOQL, Flow, Data 360, LLM concepts, REST APIs, OAuth, event-driven integration, Salesforce CLI, Git, and CI/CD.
• Salesforce Platform Developer I and Agentforce Specialist certifications are required.
• Data Cloud Consultant, Platform Developer II, or Application Architect certification is an advantage.
• Python and Arabic are advantages; fluent written and spoken English is required.