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Principal AI Solutions Architect

Job in City Of London, Central London, Greater London, England, UK
Listing for: Anaplan
Full Time position
Listed on 2025-11-27
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Systems Engineer, Data Scientist
Job Description & How to Apply Below
Location: City Of London

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, Linked In, 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'reseeking an exceptional AI Solutions 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 Agentic AI solutions that integrate seamlessly with Anaplan's planning platform, enabling natural language interaction with complex business models
  • Lead thearchitecturestrategy 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 focused on AI/ML systems
  • Deepexpertisein 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 (Lang Chain,Llama Index,CrewAI, Haystack, or similar)
  • Strong programming skills in Python and experience with modern AI/ML tooling (PyTorch, Tensor Flow, etc.)
  • Experience designing RESTful APIs, microservices architectures, and event‑driven systems
  • Track recordof 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'sor PhD preferred)

Preferred Qualifications

  • Knowledge of Model Context Protocol (MCP) and agent communication standards
  • Experience with vector databases, RAG architectures, and semantic search systems
  • Familiarity with cloud platforms (AWS, Azure, GCP) and their AI services
  • Experience in SaaS or enterprise software companies

What Makes This Role Exciting

  • Shape the future of AI‑powered business planning at a leading enterprise platform
  • Work oncutting‑edgeagentic AI systems that autonomously…
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