AI Architect

🕒 il y a 16 jours

🇬🇧 Royaume-Uni – Télétravail

⏰ Temps Plein

🟠 Senior

🔴 Expert

🤖 Ingénieur IA

🇬🇧 Parrain de Visa de Travailleur Qualifié UK

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👻 Score fantôme 10%

infoinfo

🗣️🇺🇸🇬🇧 Anglais requis

Apache

AWS

Azure

Cloud

ETL

Microservices

Numpy

Pandas

Python

PyTorch

Scikit-Learn

ServiceNow

Spark

SQL

Tableau

Tensorflow

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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

• 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 • Identify high-value AI opportunities and translate requirements into technical designs and delivery roadmaps • Design predictive analytics, classification, clustering, forecasting, anomaly detection, recommendation, and intelligent automation solutions • Lead technical discovery, architecture workshops, design reviews, proofs of concept, and client demonstrations • Design and implement generative AI applications using Claude, the Anthropic API, and other LLM platforms • Architect secure RAG solutions grounded in enterprise documents, knowledge bases, databases, and other data sources • Build AI capabilities using structured outputs, tool use/function calling, APIs, and workflow orchestration • Architect agentic AI systems and workflows integrated with ServiceNow, enterprise APIs, cloud services, databases, collaboration platforms, and operational systems • Implement human-in-the-loop controls and safeguards for sensitive actions, unauthorized access, prompt injection, unsafe outputs, and uncontrolled autonomous behavior • Develop, train, validate, deploy, and monitor machine learning models and NLP capabilities • Build data-processing, feature-engineering, ETL/ELT, and AI data pipelines • Develop integrations, APIs, microservices, automation logic, and platform components • Establish AI evaluation frameworks, testing, observability, monitoring, tracing, alerting, governance, and responsible AI controls • Design AI-enabled ServiceNow workflow automations and intelligent experiences • Create Tableau and Power BI visualizations, dashboards, KPI frameworks, and executive-ready reporting • Collaborate with client stakeholders, NewRocket consultants, ServiceNow teams, data engineers, and AI/ML engineers • Complete relevant Anthropic partner enablement, technical training, and product education as available • 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 • Demonstrated experience architecting or delivering AI/ML, LLM, RAG, conversational AI, agentic AI, or AI-powered automation solutions • Strong understanding of algorithms, object-oriented programming, functional design principles, software architecture, and API-based integration patterns • Hands-on 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 • Strong 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 • Travel to clients and conferences as needed

🏖️ Avantages

• Diverse and inclusive workplace • Equal opportunity workplace and affirmative action employer • Disability accommodation support

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