Forward Deployed AI Engineer

🕒 September 3

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 23%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NewRocket

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

NewRocket is a top global ServiceNow partner, providing a wide range of services and solutions to help enterprise leaders solve complex business problems. They specialize in advisory and transformation services, design and implementation, managed services, and more, focusing on improving customer and employee experiences through the use of the ServiceNow platform. Their solutions include platforms and integrations, security, risk, and resilience, as well as technology excellence. NewRocket serves a variety of industries including education, healthcare, financial services, and the public sector, among others, and is known for their expertise in UI and UX design as well as their ability to enhance workflows and improve business processes efficiently.

📋 Description

• 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 into enterprise environments • Tailor AI solutions to customer operating models, processes, data, security requirements, and user needs • 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-concept implementations, reusable patterns, templates, prompt libraries, integrations, and deployment assets • Develop secure integrations among ServiceNow, enterprise systems, APIs, data platforms, and AI services • Apply authentication, authorization, secrets management, access controls, logging, error handling, version control, and documentation • Evaluate AI applications for relevance, accuracy, groundedness, safety, latency, cost, and user experience • Implement safeguards for sensitive data, permissions, prompt injection, unsafe tool use, and unintended model behavior • Monitor, troubleshoot, and optimize deployed AI systems for reliability, performance, latency, usage, and cost efficiency • Contribute to NewRocket’s Intelligence Platform, Value Realization Dashboard, Data Intelligence Platform, Agent Packs, and AI accelerators • Collaborate with Business Process Consultants, Product Engineering, Data Engineers, AI/ML Engineers, ServiceNow teams, and the AI Center of Excellence • Share customer deployment learnings and contribute to playbooks, architectures, documentation, standards, and product evolution

🎯 Requirements

• 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 solutions in fast-moving customer environments • Preferred: hands-on Anthropic API, Claude models, Anthropic Console, Claude Code, MCP, or Anthropic training experience • Preferred: ServiceNow development, configuration, workflow automation, scripting, APIs, IntegrationHub, Flow Designer, Virtual Agent, Now Assist, AI Agents, CMDB, ITSM, CSM, HRSD, knowledge management, or enterprise integration experience • Preferred: vector databases, embeddings, document ingestion, chunking, retrieval strategies, LangChain, LangGraph, LlamaIndex, Semantic Kernel, AI observability, Docker, CI/CD, SQL, Git, infrastructure-as-code, and secure cloud deployment practices

🏖️ Benefits

• Diverse and inclusive workplace • Equal opportunity workplace and affirmative action employer • Disability accommodations available upon request • Remote work arrangement • Approximately 25% travel opportunity/requirement

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