Forward Deployed AI Engineer

🕒 il y a 2 jours

🇬🇧 Royaume-Uni – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🤖 Ingénieur IA

🇬🇧 Parrain de Visa de Travailleur Qualifié UK

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👻 Score fantôme 10%

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🗣️🇺🇸🇬🇧 Anglais requis

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NewRocket

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, assistants, and automations in client ServiceNow and enterprise environments • Translate customer requirements and business processes into technical architectures, implementation plans, and production-ready AI solutions • Integrate Agent Packs, AI accelerators, workflow solutions, enterprise systems, APIs, data platforms, identity systems, and AI services • Build enterprise AI applications 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, proof-of-concepts, reusable implementation patterns, solution templates, prompt libraries, and deployment assets • Develop secure integrations, scripts, microservices, automation logic, and lightweight user interfaces • Evaluate AI applications for relevance, accuracy, groundedness, safety, latency, cost, task completion, and user experience • Implement safeguards for sensitive data, permissions, prompt injection, unsafe tool use, and unintended model behavior • Monitor, troubleshoot, optimize, and improve deployed AI solutions • Contribute to NewRocket Intelligence Platform, Value Realization Dashboard, Data Intelligence Platform, Agent Packs, and reusable AI accelerators • Collaborate with consultants, product engineers, data engineers, AI/ML engineers, ServiceNow teams, customers, and the AI Center of Excellence • Support workshops, discovery sessions, technical working sessions, demonstrations, pilots, production rollouts, and continuous improvement

🎯 Exigences

• 5–8 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, 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 communicate complex technical concepts to technical and business stakeholders • Preferred: hands-on Anthropic API, Claude, Anthropic Console, Claude Code, MCP, ServiceNow, vector databases, embeddings, LangChain, LangGraph, LlamaIndex, Semantic Kernel, Docker, CI/CD, SQL, Git, infrastructure-as-code, and secure cloud deployment experience

🏖️ Avantages

• Remote work arrangement with approximately 25% travel • Diverse and inclusive workplace • Equal opportunity workplace and affirmative action employer • Disability accommodation support

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🗣️🇺🇸🇬🇧 Anglais requis