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AI Platform Architect - Anthropic

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AI Platform Architect - Anthropic in USA

  • NewRocket
  • Full time
  • Email
  • Remote

Responsibilities

  • Design, build, deploy, and maintain reusable platform capabilities, reference architectures, infrastructure patterns, deployment templates, and integration components for enterprise AI.
  • Build secure integrations with the Anthropic API, Claude models, approved AI services, enterprise data, APIs, workflow systems, and authorized tools.
  • Establish CI/CD, LLMOps, MLOps, versioning, evaluation, regression testing, deployment automation, monitoring, rollback, and lifecycle-management practices.
  • Operate and improve AI services through incident response, troubleshooting, root-cause analysis, capacity planning, reliability improvements, and cost optimization.
  • Design and manage cloud infrastructure, infrastructure-as-code, containerized deployments, identity and access controls, secrets management, security, privacy, compliance, disaster recovery, and business continuity.
  • Build data-ingestion, transformation, indexing, retrieval, RAG, embeddings, vector-search, hybrid-search, reranking, and source-attribution capabilities.
  • Implement responsible-AI safeguards, observability, tracing, output validation, guardrails, approval gates, human-in-the-loop workflows, auditability, and governance controls.
  • Develop integrations with ServiceNow, enterprise APIs, identity providers, workflow and collaboration platforms, and line-of-business systems.
  • Provide technical guidance, participate in architecture reviews and customer workshops, and convert recurring client needs into reusable platform features, accelerators, playbooks, and documentation.

Requirements

  • 5+ years of experience in platform engineering, cloud engineering, DevOps, software engineering, data engineering, systems integration, or related technical roles.
  • Hands-on experience 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.
  • Experience with Docker, Kubernetes, serverless services, or comparable cloud-native platforms.
  • Proficiency in Python, JavaScript/TypeScript, Java, Go, Bash, or similar programming and scripting languages.
  • Experience 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, structured outputs, tool use or function calling, evaluations, and model monitoring.
  • Experience with observability practices, including 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, with the ability to work in collaborative customer-oriented environments.
  • Preferred qualifications include Claude, Anthropic API, Anthropic Console, Claude Code, Anthropic training, Model Context Protocol, LLM frameworks, LLM evaluation, prompt/version management, AI tracing, guardrails, model gateways, and AI observability experience.
  • Preferred qualifications include MLOps platforms, data engineering and governance, vector databases, enterprise search, Terraform, Pulumi, CloudFormation, Bicep, Helm, Argo CD, GitHub Actions, GitLab CI/CD, Azure DevOps, Jenkins, Kubernetes operations, service meshes, API management, event-driven architecture, microservices, and FinOps.
  • ServiceNow, consulting, professional services, enterprise architecture, or client-facing technical delivery experience is preferred.
  • A bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical discipline is required, with equivalent relevant professional experience considered; relevant certifications are a plus.

Benefits

  • NewRocket offers a diverse and inclusive workplace and is an equal opportunity and affirmative action employer.
  • The role includes travel based on client and business needs, with the posting indicating a location/hybrid/remote arrangement without specifying which applies.

NewRocket

NewRocket is the AI-first Elite partner that activates real value on ServiceNow. As a trusted advisor to enterprise leaders, NewRocket combines industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence. With two decades of e...

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