Salesforce Platform Engineer – Agentforce & AI Automation | Night Shift | Onsite

Acquire Intelligence; Pasig; In loco; PHP 1.200.000 - 2.000.000; Tempo pieno

Descrizione del lavoro

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.

Mansioni

• 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.

Descrizione del lavoro

Build the technical foundation behind enterprise AI and automation while helping turn innovative use cases into reliable production solutions. This role connects AI platforms, integrations, deployment, and operational support to enable scalable solutions across Customer Success and Technology Operations.

ABOUT ACQUIRE INTELLIGENCE

At Acquire Intelligence, our mission is to help business work smarter.
We bring together the best people, efficient processes, and automation to help companies grow faster and operate with confidence. Our purpose is to simplify how businesses work, improve performance, and lead meaningful change across the globe. If you're passionate about making a real impact through innovation and collaboration, Acquire Intelligence is the place to grow your career.

A SNAPSHOT OF YOUR ROLE

As the technical backbone for AI and automation platforms, this role helps move solutions from proof-of-concept through production while supporting security, scalability, governance, and operational stability. You'll work across Customer Success, Product, and Technology Operations to enable strategic AI initiatives and optimize the platforms behind them.

WHAT YOU'LL DO

AI Platform Implementation & Architecture

• 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.

Deployment & Release Management

• 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.

Platform Integration

• 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.

Monitoring & Operational Support

• 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.

AI Enablement & Innovation

• 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.

Cross-Functional Collaboration

• Partner with Customer Success, Support, Services, Product, Security, and TechOps teams.

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