Senior/Lead Forward Deployed AI Engineer

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

📋 Description

• Deploy, configure, and operationalize agentic AI workflows, AI assistants, and AI-driven automations in client ServiceNow and enterprise settings.

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

• Create enterprise AI applications and workflows utilizing Claude, the Anthropic API, and various LLM platforms.

• Employ prompt/context engineering, structured outputs, tool utilization, API integrations, multi-step orchestration, human-in-the-loop methodologies, and RAG.

• Develop demonstrations, prototypes, and proof-of-concept solutions.

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

• Implement authentication, authorization, secrets management, access controls, logging, error handling, version control, and documentation protocols.

• Create evaluations, regression tests, safeguards, governance controls, and monitoring systems for AI applications.

• Troubleshoot and resolve issues within AI workflows, integrations, retrieval pipelines, data connections, and automation processes.

• Enhance deployed systems for reliability, performance, latency, model usage, and cost-effectiveness.

• Contribute reusable components, prompt assets, evaluation frameworks, accelerators, and platform features to NewRocket’s AI offerings.

• Collaborate with consultants, product engineers, data engineers, AI/ML engineers, ServiceNow teams, customers, and the AI Center of Excellence.

• Travel around 25% to support customer workshops, discovery sessions, demonstrations, pilots, and production rollouts.

⛳️ Requirements

• Over 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.

• Background in building, deploying, or supporting AI/LLM-driven applications, AI-enabled automations, conversational interfaces, RAG systems, or agentic workflows.

• Experience in integrating APIs, enterprise applications, data platforms, or workflow systems in live environments.

• Proficient 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 usage/function calling, structured outputs, and model evaluation.

• Understanding of responsible AI principles, mitigation of hallucinations, handling of sensitive data, 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.

• Capability to navigate ambiguity, prioritize tasks effectively, travel approximately 25%, and deliver results in dynamic customer environments.

• Preferred: hands-on experience with Anthropic API, Claude models, Anthropic Console, Claude Code, or Anthropic implementation.

• Preferred: ServiceNow development, configuration, workflow automation, or enterprise platform implementation.

• Preferred: knowledge of 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 employer and affirmative action workplace.

• Disability accommodations available upon request.

• Anthropic training, partner enablement, and technical education programs as available.

• Remote work options.

• Opportunities and requirements for travel associated with customer delivery.