Senior/Lead Forward Deployed AI Engineer

🕒 il y a 2 mois

🇳🇱 Pays-Bas – Télétravail

⏰ Temps Plein

🟠 Senior

🤖 Ingénieur IA

👻 Score fantôme 31%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Pourquoi ce score :

• Ouverte depuis 75 jours.
• Les offres de cette entreprise sont généralement pourvues en 27 jours.
• Aucun salaire indiqué.

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NewRocket

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501 - 1000 employés

💼 Conseil

🏥 Santé

🛡️ Assurance

Consulting • Healthcare • Insurance

NewRocket est un partenaire mondial de premier plan de ServiceNow, offrant une large gamme de services et de solutions pour aider les dirigeants d'entreprise à résoudre des problèmes commerciaux complexes. Ils sont spécialisés dans les services de conseil et de transformation, la conception et la mise en œuvre, les services gérés et bien plus, en mettant l'accent sur l'amélioration des expériences client et employé grâce à l'utilisation de la plateforme ServiceNow. Leurs solutions incluent des plateformes et des intégrations, la sécurité, le risque, la résilience, ainsi que l'excellence technologique. NewRocket dessert une variété d'industries, y compris l'éducation, la santé, les services financiers et le secteur public, entre autres, et est reconnu pour son expertise en conception UI et UX ainsi que pour sa capacité à améliorer les flux de travail et à optimiser les processus commerciaux efficacement.

Description

• Deploy, configure, and operationalize agentic AI workflows, AI assistants, and AI-powered automations in client ServiceNow and enterprise environments • Translate customer requirements and processes into technical architectures, implementation plans, and production-ready AI solutions • Integrate Agent Packs, AI accelerators, workflow solutions, enterprise APIs, identity systems, data platforms, and AI services • Build enterprise AI applications and workflows using Claude, the Anthropic API, and other LLM platforms • Apply prompt and context engineering, structured outputs, tool use, API integrations, orchestration, human-in-the-loop patterns, and RAG • Build demos, prototypes, and proof-of-concept implementations; iterate based on customer feedback and performance results • Develop secure full-stack components, scripts, microservices, automation logic, integration services, and lightweight user interfaces • Evaluate AI quality, reliability, groundedness, safety, latency, cost, and user experience • Implement safeguards for sensitive data, permissions, prompt injection, unsafe tool use, and unintended model behavior • Monitor, troubleshoot, optimize, and document deployed AI solutions • Contribute reusable components, prompt patterns, evaluation frameworks, playbooks, reference architectures, and product improvements to NewRocket’s AI platforms • Collaborate with consultants, product engineering, data engineers, AI/ML engineers, ServiceNow teams, customers, and the AI Center of Excellence

🎯 Exigences

• 8+ years of experience in software engineering, systems integration, enterprise platforms, workflow automation, or related technical delivery roles • Hands-on experience in full-stack development, scripting, APIs, microservices, enterprise integrations, or cloud-native applications • Experience building, deploying, or supporting AI/LLM-powered applications, AI-enabled automations, conversational experiences, RAG systems, or agentic workflows • Experience integrating APIs, enterprise applications, data platforms, or workflow systems in production environments • Proficiency in JavaScript/TypeScript, Python, or similar programming and scripting languages • Experience with AWS, Microsoft Azure, or Google Cloud • Familiarity with prompt engineering, context windows, token usage, embeddings, vector search, RAG, tool use/function calling, structured outputs, and model evaluation • Understanding of responsible AI concepts, including hallucination mitigation, sensitive-data handling, identity and access controls, human oversight, AI safety, and secure AI deployment • Experience in customer-facing engineering, consulting, technical implementation, solutions architecture, or professional-services roles • Ability to manage ambiguity, prioritize effectively, travel approximately 25%, and deliver in fast-moving customer environments • Preferred: hands-on experience with the Anthropic API, Claude models, Anthropic Console, Claude Code, or Anthropic implementation guidance • Preferred: Anthropic Academy learning, partner enablement, technical training, or equivalent hands-on Claude deployment experience • Preferred: Model Context Protocol (MCP) familiarity • Strong plus: ServiceNow development, configuration, workflow automation, or enterprise platform implementation • Preferred: experience with vector databases, embeddings, document ingestion, chunking, retrieval strategies, LLM orchestration frameworks, AI observability, Docker, CI/CD, SQL, Git, infrastructure-as-code, and secure cloud deployment practices

🏖️ Avantages

• Remote work arrangement with approximately 25% travel • Anthropic training, partner enablement, and technical education programs as available

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