Copy of Senior/Lead Forward Deployed AI Engineer-Anthropic-Netherlands/Western Europe

ppbRole Overview /bNewRocket is seeking a highly skilled /p pbSenior Forward Deployed AI Engineer /b bAI Foundry | NewRocket /b bLocation: /b Remote with travel (~25%) /p pbRole Overview /bNewRocket is seeking a highly skilled bSenior Forward Deployed AI Engineer /b to join the AI Foundry team and work directly with customers to deploy, operationalize, and scale AI-powered workflow solutions. /p pThis role blends full-stack engineering, enterprise integration, generative AI implementation, and client-facing solution delivery. Forward Deployed AI Engineers partner closely with business consultants, product teams, AI/ML engineers, and customer stakeholders to translate real-world business problems into secure, reliable, deployable AI-driven solutions. /p pAs an Anthropic partner/vendor, NewRocket is expanding its capability to design and deliver enterprise solutions using Claude and other leading AI technologies. In this role, you will apply modern LLM engineering practices—including prompt and context engineering, retrieval-augmented generation (RAG), tool use, structured outputs, agentic workflows, model evaluation, and responsible AI controls) to deliver measurable customer value. /p pYou will help customers implement agentic AI workflows, intelligent automations, and AI-powered integrations within ServiceNow and broader enterprise ecosystems. You will also contribute directly to the evolution of NewRocket’s AI platforms, accelerators, and intellectual property, including the bNewRocket Intelligence Platform /b, bValue Realization Dashboard /b, bData Intelligence Platform /b, and reusable bAgent Packs /b. /p pThis role requires strong engineering skills, curiosity about emerging AI technologies, sound judgment regarding responsible AI deployment, and the ability to operate effectively in fast-moving customer environments. /p pbKey Responsibilities /b /p pbClient Delivery AI Solution Implementation /b /p ul liDeploy, configure, and operationalize agentic AI workflows, AI assistants, and AI-powered automations within client ServiceNow environments and enterprise technology ecosystems. /li liTranslate customer business requirements, operational processes, and desired outcomes into technical architectures, implementation plans, and production-ready AI solutions. /li liImplement and integrate NewRocket Agent Packs, AI accelerators, and workflow solutions into enterprise environments. /li liWork directly with customer teams to tailor AI solutions to their operating models, business processes, data sources, security requirements, and user needs. /li liSupport workshops, discovery sessions, technical working sessions, demonstrations, pilots, and production rollouts. /li liClearly communicate AI capabilities, limitations, tradeoffs, solution behavior, and adoption considerations to technical and business stakeholders. /li /ul pbAnthropic and Generative AI Engineering /b /p ul liBuild enterprise AI applications and workflows using Claude, the Anthropic API, and other LLM platforms as appropriate for the client use case. /li liApply effective prompt and context-engineering techniques, including clear instructions, examples, role and task definition, structured inputs, response constraints, and long-context management. /li liDesign and implement AI workflows using structured outputs, tool use/function calling, API integrations, multi-step orchestration, and human-in-the-loop review patterns. /li liBuild retrieval-augmented generation (RAG) solutions that ground AI responses in authorized enterprise data and knowledge sources. /li liImplement practical techniques to improve reliability and user trust, including citation or source-grounding patterns, validation, confidence thresholds, output schemas, fallback handling, and escalation workflows. /li liStay current on Anthropic platform capabilities, Claude model releases, implementation guidance, responsible AI principles, and enterprise deployment best practices. /li liComplete relevant Anthropic training, partner enablement, and technical education programs as available, and incorporate those practices into NewRocket solution delivery. /li /ul pbSolution Engineering Prototyping /b /p ul liBuild demos, prototypes, and proof-of-concept implementations that validate AI-driven workflows and customer use cases. /li liRapidly iterate with customers and internal teams to refine AI-powered solutions based on feedback, performance results, and operational needs. /li liSupport the design and implementation of AI orchestration, LLM integrations, agentic decision models, and workflow automation patterns. /li liEvaluate when an agentic approach is appropriate versus deterministic automation, traditional workflow logic, search, analytics, or human review. /li liDevelop reusable implementation patterns, solution templates, prompt libraries, integrations, and deployment assets that accelerate future client delivery. /li /ul pbFull-Stack Engineering Integration /b /p ul liDevelop