Senior Deployment Engineer

We are seeking a Deployment Engineering Manager to lead the journey of AI-powered products from proof of concept to secure, production-ready deployment for enterprise clients.This is a hands-on leadership role for someone experienced in deploying AI applications, LLM-based solutions, RAG pipelines and agentic AI systems across cloud, on-premise and hybrid environments.Working directly with the Founder and alongside the core engineering team, you will own end-to-end deployment delivery, client integrations, production stability, security and technical implementation. You will initially lead deployments hands-on, with the opportunity to build and scale a dedicated deployment engineering team as the business grows.Key ResponsibilitiesLead end-to-end deployment of AI and enterprise software solutions, from technical discovery to go-live and production support.Design and manage deployments across AWS, Azure, GCP, on-premise and hybrid environments.Oversee system integrations, APIs, infrastructure configuration, model serving and AI inference optimisation.Ensure deployments meet security, data protection and compliance requirements, including ISO 27001, SOC 2, GDPR and the EU AI Act, where applicable.Own deployment timelines, budgets, effort estimation, risk management and delivery quality.Develop deployment playbooks, SOPs and technical documentation to standardise implementation across clients.Collaborate with Engineering, Product, Sales and client stakeholders on technical scoping, integrations and production readiness.Ensure reliable production operations, smooth handovers and continuous improvement.Build and lead a deployment engineering team as the client base expands.Requirements7+ years of experience in deployment engineering, implementation, solutions engineering or technical delivery.Proven experience deploying AI applications into production, particularly LLMs, RAG pipelines and agentic AI systems.Hands-on experience with secure AI model deployment, GPU infrastructure, model serving and inference optimisation.Strong knowledge of cloud platforms (AWS, Azure or GCP), APIs, networking, system integration and infrastructure configuration.Experience managing complex, client-facing enterprise software deployments across multiple environments.Understanding of security, privacy and compliance frameworks, including ISO 27001, SOC 2, GDPR or the EU AI Act.Proven ability to lead technical teams or cross-functional workstreams.Strong project management, documentation, stakeholder management and problem-solving skills.Bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience.Ideal Candidate: A hands-on technical leader who combines deep deployment expertise with AI production experience, commercial awareness and the ability to build scalable implementation processes in a growing technology business.