AI Operations & Agent Engineering Specialist

Penbrothers; Mandaluyong; Hybrid; PHP 1,200,000 - 1,800,000; Full time

Job summary

Penbrothers is seeking an AI Operations & Agent Engineering Specialist for a global client specializing in digital trust and machine identity management. The role centers on designing, building, and operating a Multi-Agent System (MAS) to enable governance, risk, and compliance automation workflows with reliable agent orchestration and integration patterns.

Hybrid work setup in Mandaluyong, Philippines, with emphasis on platform operations, incident resolution, and scalable agent infrastructure.

Job description

Job Title: AI Operations & Agent Engineering Specialist

Contract Type: Full-time

About Penbrothers

Penbrothers is an HR and remote talent management partner and one of the fastest-growing companies in the Philippines. We connect talented Filipinos to global opportunities with high-growth startups and dynamic companies, enabling them to build careers from the comfort of their own homes. We provide end-to-end support in recruitment, HR, payroll, compliance, and employee engagement - creating an environment where talent can thrive and global companies can grow.

About the Client

Our client is a global leader in digital trust, PKI, and machine identity management, helping organizations manage and secure keys, certificates, and identities across cloud, containers, and enterprise environments. As digital ecosystems grow, we enable secure, scalable, and automated cryptographic operations.

About the Role

Our client is building a next-generation Governance, Risk, and Compliance Automation Team focused on leveraging Artificial Intelligence and Multi-Agent Systems (MAS) to transform how compliance, governance, assurance, and related knowledge work are enabled. The AI Operations & Agent Engineering Specialist will be the technical operator and builder responsible for developing, growing, maintaining, and improving the MAS ecosystem.

This role is focused exclusively on AI agent systems. The specialist will design and maintain parent-agent and child-agent architectures or AI \"Brain\" architectures, agent orchestration patterns, integrations, monitoring, troubleshooting, documentation, and technical enablement needed to make the MAS reliable, scalable, and useful for business stakeholders. Knowledge of governance, risk, and compliance (GRC) is important because the MAS will support compliance and governance use cases, but this role will not perform traditional GRC activities, audit execution, control testing, risk register ownership, or compliance assessment work.

This is not a Compliance Analyst role and not a general automation role. The Compliance Analyst determines what governance or compliance workflows need support. The AI Operations & Agent Engineering Specialist determines how the Multi-Agent System is designed, built, operated, troubleshot, and scaled to enable those workflows.

What You'll Do

• Multi-Agent System Development: Design, build, and maintain AI agents that support governance, compliance, business assurance, knowledge retrieval, and decision-support workflows. Develop parent-agent and child-agent architectures that support orchestration, routing, task delegation, and consistent outputs. Implement agent-to-agent communication patterns, workflow coordination, and reusable agent templates. Build agent instructions, prompts, tools, actions, connectors, knowledge sources, and escalation logic.
• AI Agent Platform Operations: Deploy, configure, and maintain AI agents in development, testing, and production environments. Manage agent lifecycle activities, including onboarding, versioning, release notes, performance tuning, regression testing, and retirement. Monitor MAS performance, reliability, accuracy, latency, failure rates, and execution consistency. Maintain technical documentation for agent architecture, dependencies, access requirements, data sources, integrations, and expected behavior. Create operational dashboards or reports showing MAS health, usage, adoption, and reliability metrics.
• Agent Troubleshooting & Reliability Engineering: Investigate and resolve agent failures, incorrect outputs, broken workflows, tool execution errors, integration failures, and data access issues. Perform root cause analysis for MAS incidents and implement corrective actions. Improve agent resilience through better prompts, improved routing, guardrails, fallbacks, error handling, and validation steps. Test agents against realistic scenarios and edge cases before release.
• AI Integration Engineering: Build and maintain integrations between AI agents and approved enterprise tools, systems, repositories, and data sources (such as Microsoft 365, SharePoint, Confluence, Microsoft Graph, and APIs). Support secure retrieval, summarization, routing, and output generation. Develop and maintain MCP-based or equivalent tool integrations where approved and appropriate.
• Agent Governance Enablement: Maintain the MAS technical inventory, including agents, agent owners, purpose, linked knowledge sources, connected tools, permissions, and production status. Implement technical controls required by internal AI governance processes, including logging, monitoring, change tracking, access boundaries, approval gates, and shutdown/pause procedures. Ensure agents are built to support human oversight, traceability, repeatability, and auditability.

Explicitly Out of Scope

• Owning or maintaining risk registers.
• Performing control testing or audit execution.
• Managing compliance assessments or certification programs.
• Responding directly to customer questionnaires as a compliance owner.
• Serving as the control owner for ISO, SOC 2, PCI DSS, or other frameworks.
• Building non-AI workflow automation unrelated to MAS capability, reliability, or enablement.
• Acting as the primary author of policy, procedure, or framework content unless directly supporting agent behavior or MAS documentation.

What You Bring

• Experience: 2-3 years of experience developing, configuring, operating, or supporting AI-powered automation, agentic workflows, or LLM-based solutions.
• Core Competencies: Hands-on experience with AI agents, prompt engineering, workflow design, and troubleshooting AI system behavior. Experience working with APIs, data connectors, knowledge repositories, and enterprise collaboration platforms. Demonstrated ability to document technical designs, dependencies, limitations, and operational procedures. Strong troubleshooting mindset.
• Preferred Knowledge: Familiarity with GRC terminology and workflows; exposure to ISO 42001, ISO 27001, SOC 2, or AI governance; awareness of OWASP Top 10 for LLMs and AI security risks.

Level of Authority

Operational and technical authority to design, build, test, troubleshoot, document, and recommend improvements or lifecycle changes (promote, pause, redesign, retire) for approved MAS agents and technical components. May not independently approve new AI use cases, change governance policy, accept compliance risk, or deploy agents that bypass required approvals. Must escape material security, access, data, reliability, or governance concerns.

Work Setup

Hybrid in Mandaluyong

Following the US time zone

Our Hiring Process & AI Disclaimer

We use AI tools to streamline our application process- including an initial conversation with an AI Interviewer. All hiring decisions are made entirely by humans: our Talent Acquisition team guides your full candidate journey and makes all evaluation decisions.

You are welcome to use AI for CV refinement and research, but real-time AI assistance during interviews or skill assessments