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Principal AI Solutions Architect

Job in Greater London, London, Greater London, EC1A, England, UK
Listing for: Anaplan
Full Time position
Listed on 2026-01-14
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Systems Engineer
Job Description & How to Apply Below
Location: Greater 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 whos who in the Fortune 50. Coca‑Cola Linked In Adobe LVMH and Bayer are just a few of the 2400 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 lets build whats next ‑ together!

We’re seeking 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 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 focus 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 (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 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 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 on cutting‑edge agentic AI systems that autonomously reason about complex…
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