Principal Architect AI

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 systems
• Deep expertise in LLM architecture, prompt engineering, and GenAI application design, with a strong understanding of multi-agent systems and autonomous decision-making frameworks
• Highly 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 Haystack
• Proven track record of designing RESTful APIs, microservices, and event-driven architectures to build and ship production-ready, enterprise-grade AI solutions at scale
• Excellent communication skills with the ability to translate complex technical architectures and AI concepts into clear insights for diverse engineering and business stakeholders
• Knowledge of Model Context Protocol (MCP) and agent communication standards
• Experience with vector databases, RAG architectures, and semantic search systems
• Familiarity with cloud platforms such as AWS, Azure, or GCP and their AI services
• Experience 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 models
• Develop 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 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

Technologies:

• AI
• API
• AWS
• Architect
• Azure
• Cloud
• GCP
• Support
• LLM
• Machine Learning
• MCP
• PyTorch
• Python
• RAG
• Security
• TensorFlow
• microservices
• Agentic 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 35 week of 2026