Senior/Lead Forward Deployed AI Engineer

NewRocket

Senior AI engineer deploying Claude-powered enterprise workflows and integrations for NewRocket’s ServiceNow customers. Building secure, evaluated, reusable AI solutions across enterprise environments.

Posted 9/10/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in deploying and operationalizing AI workflows and applications, with a strong focus on integrating APIs and enterprise systems. Proficient in full-stack development and familiar with responsible AI concepts and secure deployment practices.

Highest-signal resume keywords

AI Workflow DeploymentFull-Stack DevelopmentAPI IntegrationJavaScript/TypeScript ProficiencyServiceNow Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Application DevelopmentPrompt EngineeringMicroservices ArchitectureCloud-Native ApplicationsScripting LanguagesData Platform IntegrationVersion ControlRegression TestingError HandlingAutomation Processes

Soft Skills

Customer-Facing EngineeringAmbiguity ManagementEffective PrioritizationCollaboration

Tools & Technologies

AWSMicrosoft AzureGoogle CloudAnthropic APIServiceNowDockerCI/CDSQLGitVector Databases

Industry Keywords

AI SafetyHuman OversightSensitive-Data HandlingWorkflow AutomationEnterprise Integration

Tech Stack

Tools & technologies

AWSAzureCloudDockerJavaScriptMicroservicesPythonServiceNowSQLTypeScript

About the role

Key responsibilities & impact

Deploy, configure, and operationalize agentic AI workflows, AI assistants, and AI-powered automations in client ServiceNow and enterprise environments
Translate customer requirements and business processes into technical architectures, implementation plans, and production-ready AI solutions
Build enterprise AI applications and workflows using Claude, the Anthropic API, and other LLM platforms
Apply prompt/context engineering, structured outputs, tool use, API integrations, multi-step orchestration, human-in-the-loop patterns, and RAG
Build demos, prototypes, and proof-of-concept implementations
Develop secure integrations between ServiceNow, enterprise systems, APIs, data platforms, and AI services
Implement authentication, authorization, secrets management, access controls, logging, error handling, version control, and documentation
Develop evaluations, regression tests, safeguards, governance controls, and monitoring for AI applications
Diagnose and resolve issues across AI workflows, integrations, retrieval pipelines, data connections, and automation processes
Optimize deployed systems for reliability, performance, latency, model usage, and cost efficiency
Contribute reusable components, prompt assets, evaluation frameworks, accelerators, and platform features to NewRocket’s AI products
Collaborate with consultants, product engineering, data engineers, AI/ML engineers, ServiceNow teams, customers, and the AI Center of Excellence
Travel approximately 25% and support customer workshops, discovery sessions, demonstrations, pilots, and production rollouts

Requirements

What you’ll need

8+ years of experience in software engineering, systems integration, enterprise platforms, workflow automation, or related technical delivery roles
Hands-on experience in full-stack development, scripting, APIs, microservices, enterprise integrations, or cloud-native applications
Experience building, deploying, or supporting AI/LLM-powered applications, AI-enabled automations, conversational experiences, RAG systems, or agentic workflows
Experience integrating APIs, enterprise applications, data platforms, or workflow systems in production environments
Proficiency in JavaScript/TypeScript, Python, or similar programming and scripting languages
Experience with AWS, Microsoft Azure, or Google Cloud
Familiarity with prompt engineering, context windows, token usage, embeddings, vector search, RAG, tool use/function calling, structured outputs, and model evaluation
Understanding of responsible AI concepts, hallucination mitigation, sensitive-data handling, identity and access controls, human oversight, AI safety, and secure AI deployment
Experience in customer-facing engineering, consulting, technical implementation, solutions architecture, or professional-services roles
Ability to manage ambiguity, prioritize effectively, travel approximately 25%, and deliver in fast-moving customer environments
Preferred: hands-on Anthropic API, Claude models, Anthropic Console, Claude Code, or Anthropic implementation experience
Preferred: ServiceNow development, configuration, workflow automation, or enterprise platform implementation
Preferred: vector databases, embeddings, document ingestion, chunking, retrieval strategies, LLM orchestration frameworks, AI observability, Docker, CI/CD, SQL, Git, infrastructure-as-code, and secure cloud deployment practices

Benefits

Comp & perks

Diverse and inclusive workplace
Equal opportunity workplace and affirmative action employer
Disability accommodations available upon request
Anthropic training, partner enablement, and technical education programs as available
Remote work arrangement
Travel opportunities/requirements associated with customer delivery