Forward Deployed AI Engineer
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Job Description
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.
Responsibilities:
- 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:
- 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:
- Diverse and inclusive workplace
- Equal opportunity workplace and affirmative action employer
- Disability accommodation support
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