AI Platform Architect

This is a fully remote position, open to applicants in Netherlands.

📋 Description

• Design, develop, deploy, and sustain scalable platform capabilities that support enterprise AI, machine learning, LLM, RAG, and agentic AI applications.

• Create reusable reference architectures, infrastructure patterns, deployment templates, integration components, and engineering standards.

• Establish secure integrations with enterprise data, APIs, workflow systems, authorized tools, Anthropic API, and Claude models.

• Enable standardized authentication, model access, prompt and context management, structured outputs, tool usage, logging, error handling, and rate-limit management.

• Provide support for Claude-based document analysis, knowledge assistance, workflow automation, agentic task execution, summarization, classification, and decision support.

• Establish and manage CI/CD pipelines, LLMOps and MLOps capabilities, evaluation pipelines, deployment automation, monitoring, and lifecycle management.

• Support production AI services through incident response, troubleshooting, root-cause analysis, capacity planning, and service-level monitoring.

• Define and oversee availability, latency, throughput, token consumption, model cost, tool-call success rates, task-completion rates, and error rates.

• Design and manage cloud infrastructure across AWS, Microsoft Azure, Google Cloud Platform, or client-approved environments.

• Implement infrastructure as code, containerized deployments, identity and access controls, security, privacy, auditing, vulnerability management, disaster recovery, and business continuity.

• Build secure data ingestion, transformation, indexing, retrieval, RAG, embeddings, vector-store, hybrid search, and source attribution pipelines.

• Integrate AI applications with databases, data warehouses, document repositories, knowledge bases, ServiceNow, and third-party SaaS platforms.

• Implement responsible-AI safeguards, observability, tracing, output validation, approval gates, fallback behavior, and human-in-the-loop workflows.

• Construct integrations between AI platforms, ServiceNow, enterprise APIs, identity providers, workflow tools, collaboration platforms, and line-of-business systems.

• Provide technical guidance and collaborate with AI, data, product, ServiceNow, consulting, and client technology teams.

• Contribute to playbooks, runbooks, reference architectures, technical documentation, reusable modules, knowledge-sharing sessions, architecture reviews, demos, implementation planning, and customer workshops.

• Productionize AI solutions and contribute reusable components to NewRocket’s Intelligence Platform, Data Intelligence Platform, and Agent Pack ecosystem.

⛳️ Requirements

• 5+ years of experience in platform engineering, cloud engineering, DevOps, software engineering, data engineering, systems integration, or related technical roles.

• Hands-on experience in designing and deploying cloud-native applications and services on AWS, Microsoft Azure, and/or Google Cloud Platform.

• Strong experience with CI/CD, Git-based workflows, automated testing, infrastructure as code, and production release processes.

• Proficiency in Docker, Kubernetes, serverless services, or similar cloud-native platforms.

• Proficiency in Python, JavaScript/TypeScript, Java, Go, Bash, or similar programming and scripting languages.

• Experience in designing and consuming REST APIs, integrating enterprise applications, and implementing authentication and authorization patterns.

• Hands-on experience with LLM-powered applications, generative AI services, AI/ML platforms, RAG systems, AI workflow automation, or related technologies.

• Familiarity with prompt and context engineering, token management, embeddings, vector search, RAG, structured outputs, tool use/function calling, evaluations, and model monitoring.

• Experience with logging, metrics, tracing, alerting, and incident management.

• Strong knowledge of cloud security, identity and access management, secrets management, network security, and secure software development practices.

• Experience with relational databases, NoSQL databases, data warehouses, object storage, search platforms, or vector databases.

• Strong problem-solving, troubleshooting, communication, and documentation skills.

• Ability to work effectively in a fast-paced, collaborative, customer-oriented environment.

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical discipline; equivalent relevant professional experience will be considered.

• Preferred: hands-on experience with Claude, Anthropic API, Anthropic Console, Claude Code, or Anthropic technical guidance.

• Preferred: experience in Anthropic Academy learning, partner enablement, technical training, or equivalent Claude implementation.

• Preferred: knowledge of Model Context Protocol, LLM frameworks, evaluation, guardrails, observability, MLOps, data engineering, vector databases, Terraform, Kubernetes operations, ServiceNow, consulting, professional services, enterprise architecture, or client-facing technical delivery.

• Relevant certifications are a plus.

🏝️ Benefits

• Diverse and inclusive workplace.

• Equal opportunity workplace and affirmative action employer.

• Reasonable accommodations available for individuals with disabilities.