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AI Platform Engineer-Anthropic-US West

3 weeks, 2 days ago
United States
Full-time
Senior
Platform Engineer
DevOps and Infrastructure
Argo CD AWS Azure Bash CI/CD CloudFormation Databricks Docker Elasticsearch GCP Git GitHub Actions Go GraphQL Helm Java JavaScript Jenkins Kubeflow Kubernetes Microservices MLflow MLOps MongoDB Network Security OpenSearch PostgreSQL Pulumi Python REST API Secrets Management Serverless Snowflake Terraform TypeScript Vertex AI
Apply Now
NewRocket

NewRocket

NewRocket is a full-service, elite ServiceNow partner that delivers meaningful experiences and extraordinary results. They help enterprise leaders tackle tough business challenges, navigate change with confidence, and go beyond workflows to create a re...

Internet Software & Services
251-1K
Founded 2016
View All Jobs 42

Description

  • Design, deploy, and maintain scalable platforms for AI, LLM, RAG, and agentic applications.
  • Create reusable architectures, infrastructure patterns, deployment templates, integrations, and engineering standards.
  • Build secure integrations with Anthropic APIs, Claude models, enterprise data, APIs, ServiceNow, and approved tools.
  • Establish CI/CD, LLMOps, MLOps, versioning, testing, evaluation, release, monitoring, and rollback practices.
  • Manage cloud infrastructure, infrastructure-as-code, containers, Kubernetes, serverless services, identity, secrets, and security controls.
  • Develop data ingestion, indexing, retrieval, vector search, and RAG pipelines for structured and unstructured enterprise data.
  • Implement AI observability, tracing, safeguards, governance, auditability, and human-in-the-loop controls.
  • Support production operations through incident response, troubleshooting, capacity planning, reliability improvements, and cost optimization.
  • Provide technical guidance, documentation, playbooks, architecture reviews, customer workshops, and reusable platform components.

Requirements

  • 5+ years of experience in platform engineering, cloud engineering, DevOps, software engineering, data engineering, systems integration, or a related field.
  • Hands-on experience with AWS, Microsoft Azure, and/or Google Cloud Platform.
  • Strong experience with CI/CD, Git workflows, automated testing, infrastructure as code, and production releases.
  • Experience with Docker, Kubernetes, serverless services, or comparable cloud-native technologies.
  • Proficiency in Python, JavaScript/TypeScript, Java, Go, Bash, or similar languages.
  • Experience with REST APIs, enterprise integrations, authentication, authorization, and observability practices.
  • Hands-on experience with LLM applications, generative AI, RAG, AI workflow automation, or related technologies.
  • Knowledge of prompt and context engineering, embeddings, vector search, structured outputs, tool use, evaluations, and model monitoring.
  • Strong understanding of cloud security, identity and access management, secrets management, network security, and secure development.
  • Experience with relational or NoSQL databases, data warehouses, object storage, search platforms, or vector databases.
  • Experience with Claude, the Anthropic API, MCP, LLM frameworks, AI evaluation, guardrails, or AI observability tools is preferred.
  • ServiceNow, MLOps, data engineering, Kubernetes operations, FinOps, consulting, or client-facing delivery experience is preferred.
  • Bachelor’s degree in computer science, engineering, information systems, data science, or a related discipline; equivalent experience considered.
  • Relevant cloud, Kubernetes, DevOps, security, data, ServiceNow, AI/ML, or Anthropic certifications are a plus.

Benefits

  • Travel is based on client and business needs.
  • Inclusive equal opportunity workplace with diversity and accommodation support.
  • Opportunity to work with Anthropic and Claude technologies on enterprise AI solutions.

Interested in this position?

Apply directly on the company website

Apply Now

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