AI Systems Architect

Private Advertiser; Metro Manila; On-site; PHP 100,000 - 115,000; Full time

Benefits offered by this job

HMO

Paid leaves

Work from Anywhere

Job summary

Private Advertiser seeks an hands-on AI Systems Architect to design, build and run the AI foundation for the organization. You will write production code, set architecture standards, and shape how teams use AI agents to reduce repetitive work.

You will design models, agents, memory, tools, and data access, while ensuring security and auditability across multiple clients. You will lead developers to deliver reliable AI systems with measurable impact.

Qualifications

• 5+ years of professional software engineering, including at least 2 years building AI/LLM systems used by real users or clients
• A track record of building AI agents or multi-agent systems
• Strong hands-on software engineering skills and experience with enterprise or platform architecture
• Practical experience with LLMs, structured outputs, tool calling, retrieval and orchestration
• Experience connecting AI systems to applications, databases, knowledge sources and APIs
• Experience building evaluation, testing and quality checks for AI
• Experience with authentication, permissions, audit logging and data protection
• Experience deploying, monitoring and supporting AI systems in production
• A history of turning business workflows into secure technical solutions and leading delivery
• Evidence that your work produced measurable improvements in operations, productivity or revenue

Responsibilities

• Design our AI architecture. Set the standards for models, agents, orchestration, memory, tools, data access and human review.
• Build AI agents that work in production. Create agents, multi-agent systems and reusable services that teams can rely on.
• Decide what AI should and shouldn't do. Choose when work belongs to an AI agent, regular software, an automated workflow or a person.
• Set up how people work with agents. Define each agent's job, tools, permissions and escalation rules, and how people assign, review and accept its work.
• Keep things secure across clients. Design a multi-client setup that keeps each client's data separate and protects confidential information.
• Measure quality. Build evaluation and testing that tracks accuracy, reliability, cost, speed and rework, and catches hallucinations and bad recommendations.
• Guard against AI-specific risks. Handle prompt injection, data leakage and unauthorized tool use, with clear audit trails and human approval where it counts.
• Turn business needs into working systems. Translate requirements into workflows, integrations and clear acceptance criteria.
• Lead and coach developers. Give direction, review work and help others build with the patterns you set.
• Solve the hard problems yourself. Stay close enough to the code to understand real effort and risk.

Education

Degree in Computer Science, Software Engineering, AI, Data Science or related field

Job description

About the role:

We're looking for a hands-on AI Systems Architect to design, build and run the AI foundation our whole organization will work on.

You’ll shape how our teams and clients use AI agents day to day, so people spend less time on repetitive work and more time on work that matters. This is a build role, not an advisory one. You’ll write production code, make the architecture calls and set the standards others build on.

If you enjoy turning messy business workflows into reliable, secure AI systems, and you care whether they actually make people's work better, we'd like to hear from you.

What you’ll do:

• Design our AI architecture. Set the standards for models, agents, orchestration, memory, tools, data access and human review.

• Build AI agents that work in production. Create agents, multi-agent systems and reusable services that teams can rely on.

• Decide what AI should and shouldn't do. Choose when work belongs to an AI agent, regular software, an automated workflow or a person.

• Set up how people work with agents. Define each agent's job, tools, permissions and escalation rules, and how people assign, review and accept its work.

• Keep things secure across clients. Design a multi-client setup that keeps each client's data separate and protects confidential information.

• Measure quality. Build evaluation and testing that tracks accuracy, reliability, cost, speed and rework, and catches hallucinations and bad recommendations.

• Guard against AI-specific risks. Handle prompt injection, data leakage and unauthorized tool use, with clear audit trails and human approval where it counts.

• Turn business needs into working systems. Translate requirements into workflows, integrations and clear acceptance criteria.

• Lead and coach developers. Give direction, review work and help others build with the patterns you set.

• Solve the hard problems yourself. Stay close enough to the code to understand real effort and risk.

What you’ll bring:

• 5+ years of professional software engineering, including at least 2 years building AI/LLM systems used by real users or clients

• A track record of building AI agents or multi-agent systems

• Strong hands-on software engineering skills and experience with enterprise or platform architecture

• Practical experience with LLMs, structured outputs, tool calling, retrieval and orchestration

• Experience connecting AI systems to applications, databases, knowledge sources and APIs

• Experience building evaluation, testing and quality checks for AI

• Experience with authentication, permissions, audit logging and data protection

• Experience deploying, monitoring and supporting AI systems in production

• A history of turning business workflows into secure technical solutions and leading delivery

• Evidence that your work produced measurable improvements in operations, productivity or revenue

We don't require any particular framework, model provider or vendor. We care that you choose tools based on security, reliability, cost and business need.

Nice to have:

• A degree in Computer Science, Software Engineering, AI, Data Science or a related field, or equivalent professional experience

• Experience with multi-client or multi-tenant platforms

• Experience building reusable AI products or platform capabilities

• Experience with knowledge architecture, semantic systems or advanced retrieval

• Experience in a growing company where systems and standards are still taking shape

How you work:

• You think in systems and enjoy rolling up your sleeves to solve problems.

• You're open about your assumptions and blind spots, and you make uncertainty visible.

• You're comfortable making progress with incomplete information.

• You explain technical ideas clearly to both engineers and non-technical colleagues.

• You take security, evidence, quality and human accountability seriously.

• You challenge assumptions constructively, including knowing when AI isn't the right answer.

• You care about outcomes, not just activity.

• You build systems others can use without needing you in the loop.

What success looks like:

• A secure, reusable AI architecture is in place and well understood.

• AI agents do approved work reliably, within clear permissions.

• Everyone knows what AI handles, what people review and when to ...

• Teams produce more useful work with less repetition and rework.

• AI costs, risks and performance are visible and under control.

• Developers deliver AI features faster using the patterns you set.

• Our AI capabilities deliver measurable benefits for the business and our clients.

Compensation:

100,000 - 115,000 PHP (Depending on experience)

Benefits:

• HMO
• Paid leaves
• Work from Anywhere