AI Technical Platform Leader

Overview

In this role you will lead the design, implementation, and ongoing support of WTW’s enterprise AI platforms. You’ll work with Architecture, Information Security, Compliance, and business stakeholders to embed governance, security, and responsible AI by design. You drive end-to-end delivery, operations, and continuous improvement of AI platforms in a global, regulated context. You will shape adoption of new AI capabilities and ensure solutions deliver measurable business value while maintaining a strong security and data-protection posture.

Pay / Benefits

• 25 days of annual leave
• WTW day for relaxation
• private healthcare
• life insurance
• group income protection
• hybrid working options

Responsibilities

• Shape design and ongoing support of enterprise AI platforms
• Establish and improve production-grade deployment methodologies
• Manage agent lifecycle, release pipelines, and policy adherence
• Enable AI capability enablement with extensible skills, plugins, and connectors
• Automate skill deployment to platforms (e.g., Claude, Copilot) and maintain CI/CD pipelines
• Deploy AI models within hyperscaler environments
• Embed governance, security controls, and data protection by design with Architecture, Compliance, and Security
• Define and implement AIOps practices: monitoring, forensics, capacity planning, workload optimization
• Serve as senior technical escalation point for production AI solutions
• Influence adoption of new AI capabilities across teams and lines of business
• Identify and lead improvement initiatives across the AI engineering practice
• Evaluate emergent AI platform capabilities and roadmap alignment to business outcomes
• Maintain regulatory-compliant posture with data protection and model governance
• Ensure risk mitigation and adherence to regulatory requirements

Key requirements

• Extensive technology experience in large global enterprises
• Software or platform engineering for enterprise-scale solutions
• Management of SRE programs for mission-critical systems
• DevOps practices for automated, secure deployments in regulated environments
• Knowledge of GDPR-like compliance constraints and regional requirements
• Deep knowledge of generative AI, agentic systems, and enterprise AI engineering patterns
• Experience designing and deploying AI agents on enterprise platforms
• Hands-on integration with large language models via APIs and data governance
• Proficiency in AI governance, security, identity, access management, content safety
• Familiarity with EU AI Act and NIST AI RMF, and operationalizing requirements
• CI/CD, infrastructure as code, and source control for reliable delivery
• Strong analytical and decision-making abilities
• Excellent stakeholder management and cross-functional collaboration
• Experience translating workflow needs into AI solution designs for business value
• Demonstrated technical leadership and mentoring

• Stakeholder management
• Cross-functional collaboration
• Proactive improvement mindset
• Generative AI and agentic systems
• AI platform engineering patterns
• Agent orchestration and skills/plugin development

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