Forward Deployed AI Engineer

NewRocket

Forward Deployed AI Engineer delivering Claude-powered AI workflows, integrations, and automations for NewRocket enterprise clients. Building secure, scalable solutions across ServiceNow and broader business ecosystems.

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in deploying and operationalizing AI workflows and solutions within enterprise environments, with a strong focus on integrating APIs, microservices, and cloud platforms. Proficient in full-stack development and prompt engineering, ensuring high-quality, secure AI applications that meet customer needs.

Highest-signal resume keywords

AI Workflow DeploymentFull-Stack DevelopmentAPI IntegrationPrompt EngineeringCloud Platform Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaScriptTypeScriptPythonMicroservicesScriptingAI/LLM ApplicationsWorkflow AutomationEnterprise IntegrationsRAG SystemsCloud-Native Applications

Soft Skills

Customer-Facing EngineeringConsultingTechnical ImplementationProblem-SolvingPrioritization

Tools & Technologies

ServiceNowAWSMicrosoft AzureGoogle CloudAnthropic APINewRocket Agent PacksData PlatformsAI ServicesIntegration ServicesValue Realization Dashboard

Industry Keywords

Responsible AISensitive-Data HandlingIdentity and Access ControlsAI SafetyHuman Oversight

Tech Stack

Tools & technologies

AWSAzureCloudJavaScriptMicroservicesPythonServiceNowTypeScript

About the role

Key responsibilities & impact

Deploy, configure, and operationalize agentic AI workflows, assistants, and automations in client ServiceNow and enterprise environments
Translate customer requirements and business processes into technical architectures, implementation plans, and production-ready AI solutions
Integrate NewRocket Agent Packs, AI accelerators, and workflow solutions
Support workshops, discovery sessions, technical working sessions, demonstrations, pilots, and production rollouts
Build enterprise AI applications using Claude, the Anthropic API, and other LLM platforms
Apply prompt and context engineering, structured outputs, tool use, API integrations, orchestration, human-in-the-loop patterns, and RAG
Build demos, prototypes, proof-of-concepts, reusable implementation patterns, prompt libraries, integrations, and deployment assets
Develop secure integrations between ServiceNow, enterprise systems, APIs, data platforms, and AI services
Build scripts, microservices, automation logic, integration services, and lightweight user interfaces
Develop evaluation approaches, metrics, regression tests, safeguards, governance documentation, and operational support procedures
Monitor, troubleshoot, optimize, and improve deployed AI solutions for reliability, performance, latency, security, and cost
Contribute to NewRocket’s Intelligence Platform, Value Realization Dashboard, Data Intelligence Platform, Agent Packs, and reusable AI accelerators
Collaborate with consultants, product engineers, data engineers, AI/ML engineers, ServiceNow teams, the AI Center of Excellence, and customer stakeholders
Travel approximately 25% and report to the Global AI Center of Excellence Lead

Requirements

What you’ll need

5–8 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, 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 high-quality solutions in fast-moving customer environments
Anthropic/Claude experience, ServiceNow experience, and related AI, data, platform, and deployment experience are preferred qualifications

Benefits

Comp & perks

Diverse and inclusive workplace
Equal opportunity workplace and affirmative action employer
Disability accommodation support