The Core Engineering- AI Solutions Engineer – VP – London

Overview

You will embed with The Core teams to turn ambiguous problems into secure, production AI products. You shape where agents act, assist, or require human gates, and deliver cloud-native AI solutions adopted in real workflows. The role blends client-facing discovery, rapid engineering, and handoff to receiving teams for ongoing ownership. You contribute to scalable, auditable AI applications within a central engineering organization.

Responsibilities

• Rapid prototyping and delivery of cloud-native AI applications with CI/CD and automated testing
• Partner with business and engineering teams to translate requirements into cloud-optimized architectures and scalable data models
• Embed with Core business teams to map workflows, identify automation opportunities, and drive adoption through pilots
• Build production-grade AI apps using LLM APIs, retrieval-augmented generation, embeddings, and context management
• Apply cloud-native services, secure deployment, observability, and MLOps for scalable, cost-aware solutions
• Document solutions, mentor receiving teams, and enable smooth transition to long-term ownership

Key requirements

• 9+ years of hands-on software engineering experience
• Proficiency in Python, Java, or Go
• Experience translating business requirements into cloud-optimized architectures and data models
• Experience in forward-deployed/internal client-facing engineering models and pilot delivery
• Extensive experience with AWS, Azure, or GCP including serverless, containers, and security standards
• Experience integrating LLM/AI into production apps (RAG, embeddings, vector search, prompts, validation, monitoring)
• Excellent communication and collaboration skills

• strong communication
• cross-functional collaboration
• stakeholder engagement
• Python, Java, or Go
• cloud platforms: AWS, Azure, GCP
• serverless, containerization, managed services

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