Forward Deployed AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Deploy, configure, and operationalize agentic AI workflows, assistants, and automations within client ServiceNow and enterprise environments.

• Convert customer requirements and business processes into technical architectures, implementation strategies, and production-ready AI solutions.

• Integrate NewRocket Agent Packs, AI accelerators, and workflow solutions effectively.

• Facilitate workshops, discovery sessions, technical working sessions, demonstrations, pilots, and production launches.

• Create enterprise AI applications utilizing Claude, the Anthropic API, and other large language model platforms.

• Implement prompt and context engineering, structured outputs, tool usage, API integrations, orchestration, human-in-the-loop patterns, and retrieval-augmented generation (RAG).

• Develop demos, prototypes, proof-of-concepts, reusable implementation patterns, prompt libraries, integrations, and deployment resources.

• Establish secure integrations between ServiceNow, enterprise systems, APIs, data platforms, and AI services.

• Create scripts, microservices, automation logic, integration services, and lightweight user interfaces.

• Formulate evaluation methods, metrics, regression tests, safeguards, governance documentation, and operational support protocols.

• Monitor, troubleshoot, optimize, and enhance deployed AI solutions for reliability, performance, latency, security, and cost efficiency.

• 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 similar technical delivery roles.

• Practical experience in full-stack development, scripting, APIs, microservices, enterprise integrations, or cloud-native applications.

• Experience in building, deploying, or supporting AI/LLM-powered applications, AI-enabled automations, conversational experiences, RAG systems, or agentic workflows.

• Proven track record in integrating APIs, enterprise applications, data platforms, or workflow systems in production settings.

• Proficiency in JavaScript/TypeScript, Python, or comparable programming and scripting languages.

• Familiarity with AWS, Microsoft Azure, or Google Cloud.

• Knowledge of 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 management, 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 navigate ambiguity, prioritize effectively, travel approximately 25%, and deliver high-quality solutions in fast-paced customer environments.

• Experience with Anthropic/Claude, ServiceNow, and related AI, data, platform, and deployment technologies is preferred.

🏝️ Benefits

• Diverse and inclusive workplace.

• Equal opportunity workplace and affirmative action employer.

• Disability accommodation support.