AI Technical Platform

Everything we do within WTW Global Technology has a global focus at its heart. We aim to provide colleagues with consistent technology, experiences and operations wherever possible.

The AI Technical Platform Leader will be crucial to the delivery of WTW’s vision of a future where AI Platforms are self-service, governed through automated guardrails, and increasingly operated through intelligence versus human intervention. In this role you will shape and deliver WTW’s central, enterprise-wide AI platforms by working closely with Architecture, Information Security, Compliance, and business stakeholders to mold and implement strategy.

The role applies broad technical knowledge with depth in generative AI, agentic systems, enterprise platforms and engineering governance to ensure that AI platforms at WTW are optimally configured to achieve company vision and imperatives. It has end-to-end ownership of implementation and run activities for central AI platforms, ensuring solutions are secure, governed, reliable and aligned to measurable business outcomes.

The role may be performed in a remote or hybrid pattern from the US or Great Britain, with occasional domestic or international travel as required.

The Role

•    Shape the design, implementation, and ongoing support of WTW’s enterprise AI platforms.
•    Establish and continuously improve deployment methodology for production-grade AI solutions across enterprise AI platforms in the following areas:
o    Agent lifecycle management:  Build reliable mechanisms for broadly distributed agent solutions to adhere with company policies.   Establish continuous delivery pipelines and repeatable release processes. 
o    AI Capability Enablement:  Support controlled distribution of skills, plug-ins, connectors and other extensibility outlets for enterprise AI Platforms with consistent engineering approaches:
•    Build automated procedures to harvest, standardize, and deploy skills to AI Platforms such as Claude and Copilot.
•    Develop continuous delivery pipelines, including security scanning, for plug-ins and connectors. 
•    Build and continuously maintain deployments of AI models within WTW’s hyperscaler environment.
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•    Partner with Architecture, Compliance, and Information Security to embed governance, responsible AI and security controls into the AI platform by design, including identity, data protection, content safety and auditability.
•    Define and implement AI operations (AIOps) practices for AI Platforms:  Monitoring and observability, forensics on security anomalies, token/quota capacity planning, and workload optimization.
•    Serve as a senior technical escalation point for AI platforms, leading investigation, root cause analysis and remediation of issues impacting production AI solutions. •    Influence adoption of new AI capabilities by coordinating technical messaging, implementation guidance and alignment across impacted teams and lines of business. •    Identify engineering and operational improvement opportunities, articulate recommendations and lead delivery of improvement initiatives across the AI engineering practice. •    Continuously evaluate emergent capabilities of WTW AI platforms--defining adoption strategies and roadmaps to accomplish business outcomes. •    Maintain a strong information security and responsible AI posture, ensuring risk mitigation and adherence to data protection, model governance and applicable regulatory requirements.