Principal AI Architect

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! We're seeking an exceptional 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. This role is hybrid, and you will be required to be in our London office for 2 days a week. Your Impact Design and architect GenAI and Agentic AI solutions that integrate seamlessly with Anaplan's planning platform, enabling natural language interaction with complex business models Lead the architecture strategy for conversational AI systems that understand and manipulate Anaplan dimensions, hierarchies, and planning models Develop architecture patterns for agent-to-agent (A2A) communication frameworks that enable autonomous planning agents to collaborate on complex business scenarios Design prompt engineering frameworks and best practices that optimize LLM performance for time-series forecasting, scenario planning, and financial modelling use cases Create technical specifications for agentic systems that can autonomously reason about business planning problems, propose solutions, and execute multi-step workflows 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 technical mentorship to engineering teams implementing AI solutions Partner with data science teams to translate forecasting models and ML algorithms into production-ready architectures Design observability and evaluation frameworks for GenAI systems, including guardrails, monitoring, and continuous improvement mechanisms Your Qualifications Experience in software architecture, with experience focused on AI/ML systems Deep expertise in LLM architecture, prompt engineering, and GenAI application design Strong understanding of agentic AI patterns, multi-agent systems, and autonomous decision-making frameworks Experience with enterprise AI frameworks (LangChain, LlamaIndex, CrewAI, Haystack, or similar) Strong programming skills in Python and experience with modern AI/ML tooling (PyTorch, TensorFlow, etc.) Experience designing RESTful APIs, microservices architectures, and event-driven systems Track record of shipping production AI systems at scale in enterprise environments Strong communication skills with the ability to translate complex technical concepts for diverse audiences Bachelor's degree in computer science, Engineering, or related field (Master's or PhD preferred) Preferred Qualifications Knowledge of Model Context Protocol (MCP) and agent communication standards Experience with vector databas ... (truncated, view full listing at source)