3 hours ago
Remote, United StatesSenior
Responsibilities
- Design, build, deploy, and maintain reusable platform capabilities, reference architectures, infrastructure patterns, deployment templates, and integration components for enterprise AI applications.
- Build secure Anthropic API and Claude integrations supporting prompt and context management, structured outputs, tool use, logging, error handling, rate limits, RAG, and agentic workflows.
- Establish CI/CD, versioning, testing, release, rollback, evaluation, monitoring, deployment automation, and lifecycle-management practices for AI applications, models, prompts, infrastructure, and integrations.
- Design and manage cloud infrastructure, infrastructure-as-code, containerized deployments, identity and access controls, secrets management, security controls, disaster recovery, and business continuity.
- Build secure data ingestion, transformation, indexing, retrieval, vector-search, and enterprise-data integration patterns for RAG applications.
- Implement responsible-AI safeguards, observability, tracing, auditability, governance controls, source attribution, approval gates, and human-in-the-loop workflows.
- Develop integrations among AI platforms, ServiceNow, enterprise APIs, identity providers, workflow tools, collaboration platforms, and line-of-business systems.
- Provide technical guidance, contribute documentation and reusable modules, participate in architecture reviews and customer workshops, and convert recurring client needs into scalable platform features.
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, RAG, structured outputs, tool use or function calling, evaluations, and model monitoring.
- Experience with logging, metrics, tracing, alerting, observability, 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 a collaborative, customer-oriented environment.
- Preferred qualifications include experience with Claude, the Anthropic API, Anthropic Console, Claude Code, Anthropic training, Model Context Protocol, LangChain, LangGraph, LlamaIndex, Semantic Kernel, OpenAI Agents SDK, LLM evaluation and observability platforms, model gateways, and API gateways.
- Preferred qualifications include experience with MLflow, SageMaker, Vertex AI, Azure Machine Learning, Databricks, Kubeflow, data engineering, ETL/ELT, streaming, data orchestration, 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.
- Preferred qualifications include ServiceNow architecture, development, integrations, platform operations, workflow automation, ServiceNow APIs, IntegrationHub, Flow Designer, Virtual Agent, Now Assist, AI Agents, CMDB, knowledge management, consulting, professional services, enterprise architecture, or client-facing technical delivery.
- 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 cloud, Kubernetes, DevOps, security, data engineering, ServiceNow, AI/ML, or Anthropic certifications are a plus.
Benefits
- The posting indicates a location, hybrid, or remote arrangement but does not specify which arrangement applies.
- Travel is based on client and business needs.
- The role offers exposure to Anthropic partner work, Claude-powered AI, reusable AI platforms, enterprise integrations, and responsible-AI engineering.
Tech Stack
Argo CDAWSAzureBashDatabricksDockerElasticsearchGitHub ActionsGitLab CI/CDGoGoogle Cloud PlatformHelmJavaJavaScriptJenkinsKubernetesMLflowMongoDBPostgreSQLPythonSnowflakeTerraformTypeScript
Categories
About 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 experience guiding clients to realize the full potential of the ServiceNow AI Platform, NewRocket is among the largest pure-play ServiceNow partners, uniquely focused on enabling enterprises to adopt AI they trust to deliver lasing business value.