Forward Deployed AI Engineer -UK

Forward Deployed AI EngineerAI Foundry | NewRocket Location: Remote with travel (~25%)Reports to: Global AI Center of Excellence LeadRole OverviewNewRocket is seeking a Forward Deployed AI Engineer to join the AI Foundry team and work directly with customers to deploy and operationalize AI-powered workflow solutions.This role blends full-stack engineering, AI implementation, and client-facing solution delivery. Forward Deployed AI Engineers partner closely with business consultants, product teams, and customer stakeholders to translate real-world problems into deployable AI-driven solutions.You will help customers implement agentic AI workflows, intelligent automations, and AI-powered integrations within ServiceNow and enterprise ecosystems, while also contributing to the evolution of NewRocket’s AI platforms, accelerators, and intellectual property, including the NewRocket Intelligence Platform, Value Realization Dashboard, and Data Intelligence Platform.This role requires strong engineering skills, curiosity about emerging AI technologies, and the ability to operate effectively in fast-moving customer environments.Key ResponsibilitiesClient Delivery & AI Solution ImplementationDeploy and configure agentic AI workflows and AI-powered automations within client ServiceNow environments.Translate customer business requirements into technical architectures and implementation plans.Implement and integrate NewRocket Agent Packs and AI solutions into enterprise environments.Work directly with customers to tailor AI solutions to their operational workflows and business processes.Solution Engineering & PrototypingBuild demos, prototypes, and proof-of-concept implementations to validate AI-driven workflows with clients.Rapidly iterate solutions with customers to refine AI-powered use cases.Support implementation of AI orchestration, LLM integrations, and agentic decision models.Full Stack Engineering & IntegrationDevelop integrations between ServiceNow, enterprise systems, APIs, and AI services.Build supporting components such as scripts, microservices, automation logic, and integration services.Implement integrations with AI platforms, APIs, and enterprise data sources.Product & Platform ContributionActively contribute to the development and evolution of NewRocket’s AI intellectual property and platforms, including: NewRocket Intelligence PlatformValue Realization DashboardData Intelligence PlatformAgent Packs and reusable AI solution acceleratorsResponsibilities include:identifying patterns and capabilities discovered in client deploymentscontributing reusable assets and automation componentsproviding product feedback that improves platform capabilitieshelping transform successful client implementations into repeatable platform featuresClient Interaction & Technical ConsultingParticipate in workshops, discovery sessions, and technical working sessions with customers.Serve as the engineering counterpart to consulting and delivery teams.Communicate architecture, system behavior, and technical tradeoffs clearly to stakeholders.Systems Integration & TroubleshootingDiagnose and resolve technical issues across AI workflows, integrations, and automation pipelines.Ensure deployed AI solutions are secure, scalable, and production-ready.Optimize deployed systems for performance and reliability.Cross-Team CollaborationWork closely with:Business Process ConsultantsProduct EngineeringData EngineersAI / ML EngineersAI Center of Excellence teamsContribute to internal playbooks, reusable deployment patterns, and product evolution.What Success Looks Like (First 6 Months)Successfully deploy AI-powered solutions across multiple client engagements.Deliver working AI workflows and integrations within customer ServiceNow environments.Build trusted relationships with customer teams and internal delivery teams.Contribute reusable components and improvements to NewRocket’s AI platforms and accelerators.Provide actionable feedback that improves the NewRocket Intelligence Platform and related products.Required Qualifications5–8+ years of experience in software engineering, systems integration, enterprise platforms, or automation systems.Strong engineering foundation with experience in full-stack development, scripting, or enterprise integrations.Experience working with AI / LLM technologies or AI-powered applications.Experience operating in client-facing engineering or consulting roles.Experience with cloud platforms such as AWS, Azure, or GCP.Experience with languages such as:JavaScript / TypeScriptPythonor similar scripting languages.Strong ability to communicate complex technical concepts to both technical and business stakeholders.Preferred QualificationsServiceNow Experience (Strong Plus)Experience with ServiceNow development or workflow automation platforms.Familiarity with ServiceNow scripting, APIs, and platform development patterns.Understanding of ServiceNow data models, including:CMDBworkflow / task tablesknowledge managementinteg