Senior/Lead Forward Deployed AI Engineer

🔥 12 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

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, 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

• 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

• 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