WP Engine

Principal AI Architect

WP Engine

full-time

Posted on:

Location Type: Remote

Location: Ireland

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Job Level

Lead

Tech Stack

AWSAzureCloudGoogle Cloud Platform

About the role

  • Architect the Enterprise Agent Fabric: Design and establish the internal AI development platform, including shared infrastructure, model access, and APIs.
  • Define the technical architecture for AI systems and services that ensures scalability and integration across internal workflows.
  • Lead the design and implementation of AI-powered tools and agents based on prioritized organizational use cases.
  • Guide high-level "build vs. buy" decisions for AI platforms and tools to optimise the technical stack.
  • Establish rigorous engineering best practices and standards for AI development, implementation, and deployment.
  • Define technical guidelines for model evaluation, monitoring, and documentation while ensuring systems comply with security, privacy, and compliance requirements.
  • Evaluate and select AI models, frameworks, and tooling, managing their integration and lifecycle within the enterprise.
  • Develop reusable frameworks, components, and APIs to enable engineering teams to build AI-enabled features more efficiently.
  • Provide technical guidance and mentorship to engineers working on AI initiatives across the organization.
  • Enable functional teams (Engineering, Support, Sales) by providing the tooling and architecture reviews necessary to integrate AI into their specific workflows.
  • Partner with functional leads to design and deploy AI agents that integrate directly into departmental platforms (e.g., CRM or Support tools) to automate specialized tasks.
  • Build scalable models that monitor operational data to provide proactive alerts, such as identifying customer churn risks or sales pipeline slippage.
  • Establish and enforce rigorous technical benchmarks for security, performance monitoring, and responsible AI usage across all decentralised implementations.

Requirements

  • 8+ years of software engineering experience.
  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field.
  • Strong experience with AI/ML systems, APIs, or data platforms, specifically integrating generative AI capabilities into applications.
  • Proven experience in system architecture and platform design, with the ability to translate product requirements into scalable technical solutions.
  • Experience with cloud platforms such as GCP, Azure, or AWS, preferably GCP
  • Strong analytical thinking, excellent communication skills, player-coach mindset, strong cross-team collaboration.
  • Excellent communication and interpersonal skills, capable of articulating complex technical concepts to non-technical stakeholders.
  • Strong assertiveness and ability to work with cross-functional teams and projects.
  • Familiarity with security architecture, data governance, and performance optimisation is a plus.
  • Experience with LLM platforms, vector databases, or AI orchestration frameworks is desirable.
  • Background in building internal developer platforms or shared infrastructure is an advantage.
  • Demonstrated experience building agentic GenAI architecture for commercially successful product features (not only internal prototypes).
  • Experience working in SaaS environments such as Salesforce, HubSpot, Zendesk, or Workday is advantageous.
  • Familiarity with AI model evaluation and monitoring practices would be beneficial.
Benefits
  • Company Stock Options (Every employee is an owner in the company)
  • Great Health Benefits (Medical, Dental, Fertility)
  • Paid Family and Caregiver’s Leave
  • Employee Assistance Program
  • Generous Vacation Time (Who doesn’t like time off)
  • €435 one-time work from home allowance
  • 4 Company Wellness Days a year
  • Free subscription to Calm
  • Pension, 5% company match
  • On-going education through LinkedIn Learning, Workday Learning and our Career Growth Portal
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI systemsML systemsAPIscloud platformsGCPAzureAWSLLM platformsvector databasesAI orchestration frameworks
Soft Skills
analytical thinkingcommunication skillscross-team collaborationassertivenessplayer-coach mindsetinterpersonal skills
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in Computer ScienceBachelor’s degree in Software EngineeringMaster’s degree in Software EngineeringBachelor’s degree in Artificial IntelligenceMaster’s degree in Artificial Intelligence