Senior/Lead Forward Deployed AI Engineer

🕒 August 27

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.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 customer ServiceNow and enterprise environments • Translate customer requirements and business processes into technical architectures, implementation plans, and production-ready AI solutions • Integrate Agent Packs, AI accelerators, workflow solutions, APIs, enterprise applications, data platforms, identity systems, repositories, databases, and AI services • 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/context engineering, structured outputs, tool use, API integrations, orchestration, human-in-the-loop patterns, and RAG • Build demos, prototypes, and proof-of-concept implementations; iterate based on feedback and performance • Develop secure supporting components including scripts, microservices, automation logic, integration services, and lightweight interfaces • Implement authentication, authorization, secrets management, access controls, logging, error handling, version control, documentation, security, scalability, and observability • Develop evaluations, test cases, datasets, success metrics, regression testing, safeguards, governance documentation, and monitoring • Troubleshoot and optimize AI workflows, retrieval pipelines, data connections, model behavior, tool execution, permissions, reliability, latency, usage, and cost • Contribute reusable assets, integration components, prompt patterns, evaluation frameworks, accelerators, product feedback, playbooks, and reference architectures • Collaborate with Business Process Consultants, Product Engineering, Data Engineers, AI/ML Engineers, ServiceNow teams, the AI Center of Excellence, customers, and delivery teams

🎯 Requirements

• 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, 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 communicate complex technical concepts clearly • Preferred: Anthropic API, Claude, Anthropic Console, Claude Code, MCP, ServiceNow, vector databases, embeddings, 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