Salesforce AI Platform Engineer — Build Scalable Automation

Acquire Intelligence; Pasig; On-site; PHP 1,200,000 - 2,000,000; Full time

Job summary

Acquire Intelligence is building the technical backbone for AI and automation, connecting AI platforms, integrations, deployment, and operations to deliver scalable production solutions for Customer Success and TechOps.

As part of the role, you will design and implement the architecture for AgentForce, Data Cloud, and AI agents, ensure security and governance, and partner with product, DevOps, and customer teams to move use cases into production.

Responsibilities

• Design, build, and maintain the technical framework supporting AgentForce, Data Cloud, AI agents, and related Salesforce platform capabilities.
• Connect AI agents to approved knowledge sources, data repositories, customer documentation, and operational content repositories.
• Evaluate and implement integration patterns supporting AI, automation, and customer-facing technology initiatives.
• Provide direct support to Customer Success on rollout of AI-enabled capabilities supporting support, services, and customer success operations.
• Establish technical standards, deployment patterns, and governance controls for AI-enabled solutions.
• Create and manage deployment processes from Sandbox through UAT and Production environments for CS/AI related projects.
• Build repeatable deployment frameworks and reusable implementation patterns.
• Support release planning, testing coordination, validation, and production deployment activities.
• Develop operational runbooks and deployment documentation.
• Ensure platform changes meet security, compliance, and governance standards before release.
• Implement and maintain integrations between Salesforce, AgentForce, Data Cloud, Data 360, APIs, CRM objects, knowledge platforms, and supporting business systems.
• Support integration of customer-facing AI capabilities and internal productivity solutions.
• Partner with Product Development, DevOps, and TechOps teams on architecture and integration requirements.
• Troubleshoot connectivity, authentication, synchronization, and API‑related issues.
• Implement monitoring, alerting, logging, and performance measurement capabilities across AI platforms.
• Investigate and resolve platform failures, deployment issues, integration errors, and system performance concerns.
• Develop dashboards and operational metrics supporting platform health and adoption reporting.
• Prepared for CS‑funded TechOps AI resource proposal
• Proactively identify risks, bottlenecks, and performance opportunities.
• Participate in incident response and root cause analysis activities when required.
• Support implementation of strategic AI use cases including AI Case Summaries, customer‑facing AI agents, knowledge management solutions, Customer 360 initiatives, and workflow automation solutions.
• Work closely with Customer Success and AI COE leadership to move approved use cases into production.
• Recommend improvements to platform architecture, deployment processes, monitoring, and automation capabilities.
• Partner with Customer Success, Support, Services, Product, Security, and TechOps teams.

Job description

Acquire Intelligence is building the technical backbone for AI and automation, connecting AI platforms, integrations, deployment, and operations to deliver scalable production solutions for Customer Success and TechOps.

As part of the role, you will design and implement the architecture for AgentForce, Data Cloud, and AI agents, ensure security and governance, and partner with product, DevOps, and customer teams to move use cases into production.