Principal Architect AI

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture. Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small. Supported by operating principles of being strategy-led, values -based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together! Role Overview We're hiring a Principal AI Architect to design and architect next-generation AI solutions that transform how enterprises plan and make decisions. You'll lead the architecture for GenAI and Agentic AI systems at Anaplan, working at the intersection of cutting-edge AI capabilities and enterprise business planning workflows. Your Impact Design and architect GenAI and conversational AI solutions that integrate seamlessly with Anaplan's planning platform, enabling natural language interaction and manipulation of complex dimensions, hierarchies, and business planning models. Develop architecture patterns and technical specifications for agentic systems and agent-to-agent (A2A) communication frameworks, allowing autonomous planning agents to collaborate, reason, and execute multi-step workflows. Design prompt engineering frameworks and best practices that optimise LLM performance for time-series forecasting, scenario planning, and financial modelling use cases. Collaborate with product and engineering teams to define API contracts, data models, and integration patterns for AI-powered features. Evaluate and recommend AI/ML technologies, frameworks, and models that align with enterprise requirements for security, scalability, and reliability. Lead architecture reviews and provide hands-on technical mentorship to engineering teams implementing production AI solutions. Partner with data science teams to translate complex forecasting models and machine learning algorithms into production-ready, scalable architectures. Design robust observability and evaluation frameworks for GenAI systems, including system guardrails, continuous monitoring, and optimisation mechanisms. Your Skills Experienced background in software architecture, highlighted by a dedicated and deep focus on designing, scaling, and productionising complex AI/ML systems. Deep expertise in LLM architecture,…