About this role
Salary: £52,000 - 92,000 per year
Requirements: Experienced background in software architecture, with a deep focus on designing, scaling, and productionising complex AI/ML systemsDeep expertise in LLM architecture, prompt engineering, and GenAI application design, with a strong understanding of multi-agent systems and autonomous decision-making frameworksHighly proficient in Python programming with hands-on experience using modern AI/ML tooling such as PyTorch or TensorFlow and enterprise frameworks such as LangChain, LlamaIndex, CrewAI, or HaystackProven track record of designing RESTful APIs, microservices, and event-driven architectures to build and ship production-ready, enterprise-grade AI solutions at scaleExcellent communication skills with the ability to translate complex technical architectures and AI concepts into clear insights for diverse engineering and business stakeholdersKnowledge of Model Context Protocol (MCP) and agent communication standardsExperience with vector databases, RAG architectures, and semantic search systemsFamiliarity with cloud platforms such as AWS, Azure, or GCP and their AI servicesExperience in SaaS or enterprise software companies Responsibilities: Design and architect GenAI and conversational AI solutions that integrate seamlessly with our planning platform, enabling natural language interaction and manipulation of complex dimensions, hierarchies, and business planning modelsDevelop architecture patterns and technical specifications for agentic systems and agent-to-agent communication frameworks, allowing autonomous planning agents to collaborate, reason, and execute multi-step workflowsDesign prompt engineering frameworks and best practices that optimise LLM performance for time-series forecasting, scenario planning, and financial modelling use casesCollaborate with product and engineering teams to define API contracts, data models, and integration patterns for AI-powered featuresEvaluate and recommend AI/ML technologies, frameworks, and models that align with enterprise requirements for security, scalability, and reliabilityLead architecture reviews and provide hands-on technical mentorship to engineering teams implementing production AI solutionsPartner with data science teams to translate complex forecasting models and machine learning algorithms into production-ready, scalable architecturesDesign robust observability and evaluation frameworks for GenAI systems, including system guardrails, continuous monitoring, and optimisation mechanisms Technologies: AIAPIAWSArchitectAzureCloudGCPSupportLLMMachine LearningMCPPyTorchPythonRAGSecurityTensorFlowmicroservicesAgentic AI More:
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. We support customers across 2,400+ global companies, including Fortune 50 brands such as Coca-Cola, LinkedIn, Adobe, LVMH, and Bayer. Our Winning Culture is built on diversity of thought, ambitious goals, and celebrating wins, and we are committed to being strategy-led, values-based, and disciplined in execution. We also foster an inclusive environment where everyone is respected and valued, and we provide reasonable accommodation during the application and interview process.
last updated 36 week of 2026