Technical Architect (AI / Automation Platform)-Alabang

iQor; Muntinlupa; On-site; PHP 3,000,000 - 6,000,000; Full time

Job summary

iQor is seeking an Enterprise Architect to own the end-to-end technical architecture of the Agentic AI Solution, including the orchestration engine, data model, integration surface, and deployment topology. This senior role acts as the technical authority for the AI Dev Factory pod and sets the patterns for Frontline Development Engineers to follow, ensuring milestone delivery.

The candidate will define platform architecture, governance, and security reviews, while mentoring engineers and

Qualifications

• 10+ years of professional experience with at least 3 years in an architecture role.
• Proven ownership of an enterprise automation/orchestration platform.
• Strong Azure cloud architecture experience with containerized workloads on OpenShift/Kubernetes (ARO preferred).

Responsibilities

• Define the platform architecture for the business requirements including orchestration engine and data model.
• Design dependency-aware sequencing and contingency handling using AAP workflows and event-driven automation (EDA).
• Architect parallel recovery to meet RTO/RPO targets across components and groups.
• Define integration architecture across ServiceNow APIs, Azure (ASR), storage replication, DNS/AD failover and monitoring tooling.
• Establish deployment topology on Azure Red Hat OpenShift (ARO) with managed PostgreSQL and right-size compute/storage.
• Define LLM usage patterns and token boundaries for summary generation per governance standards.
• Lead security architecture review readiness and assessment inputs.
• Set engineering standards and perform design/code reviews; collaborate with DR/Automation teams.
• Mentor Forward Deployed Engineers and staff ramping on agentic AI development.

Skills

Architecture ownership

Azure cloud architecture

OpenShift/Kubernetes (ARO)

Data modeling

API design

ITSM integrations (ServiceNow)

CI/CD pipelines

LLM-based patterns

Disaster recovery (RTO/RPO)

Agent framework (Semantic Kernel, Lang

Tools

Ansible Automation Platform

Job description

Own the end-to-end technical architecture of the Agentic AI Solution - the orchestration engine, data model, integration surface and deployment topology - and act as the senior technical authority for the AI Dev Factory development pod. This role sets the patterns the FDEs build against and is accountable for meeting the milestones.

Key Responsibilities

• Define the platform architecture for the business requirement including the orchestration engine, DRP task data model, execution flow and state management.
• Design dependency-aware sequencing and contingency handling using AAP workflows and event-driven automation (EDA).
• Architect parallel recovery execution to meet defined RTO/RPO targets across component and application groupings.
• Define integration architecture across ServiceNow APIs, Azure (ASR), storage replication, DNS/AD failover and monitoring tooling.
• Establish the target deployment topology on Azure Red Hat OpenShift (ARO) with managed PostgreSQL, and right-size compute and storage.
• Define LLM usage patterns and token consumption boundaries for summary generation, in line with Voya AI governance standards.
• Lead security architecture review readiness and assessment inputs.
• Set engineering standards - coding, playbook, branching, CI/CD, testing and documentation - and perform design and code reviews.
• Partner with the DR Team, Automation Engineering and the Project Manager on sprint planning, milestone tracking and risk escalation.
• Provide technical mentorship to the Forward Deployed Engineers and to internal staff ramping on agentic AI development.

Required Skills & Experience

• 10+ years of professional experience, including at least 3 years in an architecture role.
• Proven architecture ownership of an enterprise automation, orchestration or platform-engineering product.
• Strong cloud architecture on Azure; practical experience with containerized workloads on OpenShift/Kubernetes (ARO preferred).
• Solid data modelling and API design; PostgreSQL or equivalent relational database
• design at scale.
• Experience designing integrations with ITSM platforms (ServiceNow preferred) and CI/CD pipelines.
• Working knowledge of LLM-based application patterns - prompt design, retrieval, summarization, cost/token management.
• Understanding of disaster recovery concepts: RTO, RPO, RTA, RPA, tiering, failover and checkout validation.
• Hands‑on with an agent framework: Semantic Kernel, LangGraph/LangChain, Autogen, or equivalent.
• Deep prompt engineering skill: system prompt design, few-shot patterns, structured output, chain-of-thought control, instruction hierarchies.
• Experience operating in regulated or financial services environments with formal security and compliance gates.
• Excellent written and verbal communication; able to present design decisions to senior technology leadership.
• Exposure to Ansible and Ansible Automation Platform expertise - roles, playbooks, collections, execution environments, workflows, EDA is a plus.

Preferred

• Exposure to Azure Site Recovery (ASR), NetApp SnapMirror or comparable replication technologies.
• Experience with observability tooling and dashboard/reporting design.
• Prior delivery of AI agent solutions in an enterprise setting.