Enterprise Systems - Principal AI Architect

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At WP Engine, we are building our AI capability to accelerate innovation and productivity across our organisation. As part of this effort, we have established an AI Council to guide responsible AI adoption and governance using best-in-class technologies.

As our Principal AI Architect, you will serve as the primary technical visionary and the lead technical liaison to the AI Council responsible for establishing a scalable, enterprise-wide AI architecture. Working in close partnership with the Principal AI Product Manager, you will define the technical strategy and engineering practices that turn AI concepts into high-impact operational realities.

A central focus of your role will be the creation and oversight of our Enterprise Agent Fabric—a shared internal platform designed to enable the seamless deployment of AI agents across all functional areas. You will bridge the gap between complex engineering and business value, ensuring our AI capabilities are delivered securely, responsibly, and with operational excellence.

The Day-to-Day

Enterprise AI Architecture & Agent Fabric

• Architect the Enterprise Agent Fabric: Design and establish the internal AI development platform, including shared infrastructure, model access, and APIs.

• Establish Scalable Architecture: Define the technical architecture for AI systems and services that ensures scalability and integration across internal workflows.

• Build & Deploy AI Agents: Lead the design and implementation of AI-powered tools and agents based on prioritized organizational use cases.

• Strategic Decision Making: Guide high-level "build vs. buy" decisions for AI platforms and tools to optimise the technical stack.
  

Technical Standards & Governance

• Define Technical Standards: Establish rigorous engineering best practices and standards for AI development, implementation, and deployment.

• Security & Monitoring: Define technical guidelines for model evaluation, monitoring, and documentation while ensuring systems comply with security, privacy, and compliance requirements.

• Model Lifecycle Management: Evaluate and select AI models, frameworks, and tooling, managing their integration and lifecycle within the enterprise.
  

Enablement & Componentisation

• Create Reusable Components: Develop reusable frameworks, components, and APIs to enable engineering teams to build AI-enabled features more efficiently.

• Technical Leadership: Provide technical guidance and mentorship to engineers working on AI initiatives across the organization.

• Functional Team Support: Enable functional teams (Engineering, Support, Sales) by providing the tooling and architecture reviews necessary to integrate AI into their specific workflows.
  

Operational Deliveries

• Architect Business 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.

• Deliver Predictive Insights: Build scalable models that monitor operational data to provide proactive alerts, such as identifying customer churn risks or sales pipeline slippage.

• Enable Functional Engineering: Provide the shared APIs, reusable components, and technical mentorship necessary for departmental teams to build and maintain their own AI-enabled features.

• Maintain Operational Standards: Establish and enforce rigorous technical benchmarks for security, performance monitoring, and responsible AI usage across all decentralised implementations.
  

Your Expertise

Required:

• Experience: 8+ years of software engineering experience.

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field.

• AI/ML Expertise: Strong experience with AI/ML systems, APIs, or data platforms, specifically integrating generative AI capabilities into applications.

• Systems Design: Proven experience in system architecture and platform design, with the ability to translate product requirements into scalable technical solutions.

• 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.
  

Nice to have:

• Familiarity with security architecture, data governance, and performance optimisation.

• Specialised Tools: Experience with LLM platforms, vector databases, or AI orchestration frameworks.

• Infrastructure: Background in building internal developer platforms or shared infrastructure.

• Demonstrated experience building agentic GenAI architecture for commercially successful product features (not only internal prototypes).

• SaaS Ecosystems: Experience working in SaaS environments such as Salesforce, HubSpot, Zendesk, or Workday.

• Governance: Familiarity with AI model evaluation and monitoring practices.
  

The Perks

• 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

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