Principal AI Platform Architect

Company Description

Do you want to develop your career and make an impact in the fast-growth, fast-moving B2B technology space?

At Informa TechTarget, you’ll collaborate and grow alongside some of the industry’s most respected experts. You’ll work with leading brands and be exposed to world-shaping innovations. You’ll apply your energy and intellect to helping clients be faster to market and faster to revenue.

We’re a vibrant community of world-class practitioners – over 2000 colleagues strong – with offices in 19 locations around the world. We’re traded on Nasdaq and also part of Informa PLC, a global leader in business-to-business events, digital services, and academic research in the FTSE 100.

About Informa TechTarget

Informa TechTarget (Nasdaq: TTGT) informs, influences and connects the world’s technology buyers and sellers, to accelerate growth from R&D to ROI.

With an unparalleled reach of over 220 highly targeted technology-specific websites and more than 50 million permissioned first-party audience members, Informa TechTarget has a unique understanding of and insight into technology markets.

Underpinned by those audiences and their data, we offer expert-led, data-driven, and digitally enabled services that deliver significant impact and measurable outcomes to our clients. We provide our customers with:

• Trusted information that shapes the industry and informs investment
• Intelligence and advice that guides and influences strategy
• Advertising that grows reputation and establishes thought leadership
• Custom content that engages and prompts action
• Intent and demand generation that more precisely targets and converts

Our organization is committed to sustainability, diversity, wellbeing, and ethical working practices. Visit informatechtarget.com and follow us on LinkedIn.

For more information, visit informatechtarget.com and follow us on LinkedIn

Job Description

We are seeking an experienced Principal AI Platform Architect to define and build the next generation of our AI platform and cloud-native application ecosystem. This is a senior technical leadership role responsible for designing scalable, secure, and resilient platforms that enable AI-powered products, intelligent automation, and modern software development across the organization.

The ideal candidate is hands on technologist with extensive experience designing cloud-native applications and AI-enabled platforms. They understand how modern APIs, event-driven systems, orchestration frameworks, and agentic AI capabilities come together to create enterprise-scale solutions that are secure, observable, and operationally efficient.

This role partners closely with product leadership, engineering teams, and executive stakeholders to establish architectural direction, define platform standards, and guide the implementation of next-generation AI capabilities.

Key Responsibilities

• Design and build a scalable AI platform supporting LLMs, agentic workflows, and federated development across multiple teams
• Establish architectural standards for AI governance, security, evaluation strategies, and operational excellence
• Architect cloud-native solutions on Google Cloud Platform supporting enterprise-scale workloads
• Define platform patterns for microservices, event-driven architectures, and API-first design
• Build CICD pipelines that deploy automatically to the cloud while interfacing with legacy systems
• Provide architecture guidance and governance across engineering teams through reviews and standards
• Balance strategic platform vision with hands-on implementation to earn respect from engineering teams
• Enable teams to add new components, agents, and functionalities within the overarching platform

Qualifications

Required Qualifications & Technical Experience

• 10+ years designing and delivering enterprise software platforms with proven success at scale
• Strong GCP expertise - deep understanding of Google Cloud Platform services, semantics, and AI capabilities (Vertex AI preferred)
• AI platform experience building production systems that support product use cases, including agentic frameworks, LLMs, and orchestration
• Evaluation strategy experience - particularly building eval loops in production for monitoring and tuning AI systems (highly preferred)
• Event-driven architecture and distributed systems expertise with understanding of microservices and APIs
• Platform security and governance knowledg…