AI Architect, Agentic

🕒 il y a 2 mois

🇳🇱 Pays-Bas – Télétravail

⏰ Temps Plein

🟠 Senior

🔴 Expert

🤖 Ingénieur IA

👻 Score fantôme 32%

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 77 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

• Architect, develop, deploy, and maintain scalable AI and machine learning solutions for enterprise use cases • Define end-to-end architectures spanning data ingestion, preparation, model selection, orchestration, APIs, workflow integrations, user experiences, monitoring, and governance • Translate business needs into technical designs and delivery roadmaps • Design predictive analytics, NLP, RAG, intelligent automation, and agentic AI solutions • Establish enterprise AI standards, reference architectures, reusable patterns, and best practices • Lead technical discovery, architecture workshops, design reviews, proof-of-concepts, and client demonstrations • Implement Claude, Anthropic API, and other LLM-powered applications • Architect secure RAG, document-ingestion, vector-search, tool-use, and workflow-orchestration solutions • Design and implement agentic AI systems with permissions, memory, approval gates, fallbacks, escalations, and human-in-the-loop controls • Integrate AI systems with ServiceNow, enterprise APIs, cloud services, databases, collaboration platforms, and operational systems • Develop, train, validate, deploy, and monitor machine-learning models and data pipelines • Establish AI evaluation, testing, observability, monitoring, governance, privacy, security, and responsible-AI controls • Design AI-enabled ServiceNow workflows, virtual agents, knowledge-management, customer-service, IT-operations, and workflow-automation use cases • Create Tableau and Power BI visualizations, dashboards, executive reporting, and KPI frameworks • Collaborate with client stakeholders, NewRocket consultants, ServiceNow teams, data engineers, and AI/ML engineers • Travel to clients and conferences as needed

🎯 Exigences

• 10+ years of experience applying AI, machine learning, data science, software engineering, or intelligent automation technologies to practical enterprise use cases • Strong coding expertise in Python and SQL • Hands-on experience with TensorFlow, PyTorch, and Scikit-learn • Experience architecting or delivering AI/ML, LLM, RAG, conversational AI, agentic AI, or AI-powered automation solutions • Understanding of algorithms, object-oriented programming, functional design principles, software architecture, and API-based integration patterns • Experience with prompt engineering, context management, tokens, embeddings, vector search, RAG, tool use, structured outputs, and model evaluation • Proficiency with Pandas, NumPy, Matplotlib, and Seaborn • Hands-on experience with AWS, Azure, and/or Google Cloud • Experience with Apache Spark and Snowflake • NLP experience using Hugging Face, transformer models, cloud AI services, or comparable technologies • Understanding of database management, query optimization, data warehousing, ETL/ELT pipelines, and data-quality practices • Experience with Tableau and Power BI • Knowledge of responsible AI practices, privacy, security, human oversight, hallucination mitigation, prompt-injection defenses, model limitations, and governed deployment • Strong analytical, architectural, problem-solving, communication, and stakeholder-management skills • Ability to collaborate across client, consulting, engineering, product, data, and AI/ML teams • Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence/Machine Learning, Engineering, or a related technical field; equivalent relevant experience will also be considered

🏖️ Avantages

• Diverse and inclusive workplace • Equal opportunity workplace and affirmative action employer • Disability accommodations available • Anthropic partner enablement, technical training, and product education as available

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