AI Architect, Agentic

🔥 13 hours ago

🇳🇱 Netherlands – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

👻 Ghost score 10%

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Logo of NewRocket

NewRocket

501 - 1000 employees

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

NewRocket is a top global ServiceNow partner, providing a wide range of services and solutions to help enterprise leaders solve complex business problems. They specialize in advisory and transformation services, design and implementation, managed services, and more, focusing on improving customer and employee experiences through the use of the ServiceNow platform. Their solutions include platforms and integrations, security, risk, and resilience, as well as technology excellence. NewRocket serves a variety of industries including education, healthcare, financial services, and the public sector, among others, and is known for their expertise in UI and UX design as well as their ability to enhance workflows and improve business processes efficiently.

📋 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

🎯 Requirements

• 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

🏖️ Benefits

• 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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