Senior, Lead Forward Deployed AI Engineer

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

📋 Description

• Deploy, configure, and operationalize agentic AI workflows, assistants, and automations within 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 utilizing Claude, the Anthropic API, and various LLM platforms.

• Implement prompt and context engineering, structured outputs, tool utilization, API integrations, orchestration, RAG, validation, and human-in-the-loop methods.

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

• Develop secure integrations among ServiceNow, enterprise systems, APIs, data platforms, identity systems, repositories, databases, and AI services.

• Execute authentication, authorization, secrets management, access controls, logging, error handling, version control, documentation, scalability, and observability.

• Assess AI application quality, implement safeguards, document limitations and risk controls, and monitor deployed solutions.

• Contribute to NewRocket’s Intelligence Platform, Value Realization Dashboard, Data Intelligence Platform, Agent Packs, accelerators, and delivery playbooks.

• Diagnose and resolve issues related to AI workflows, retrieval pipelines, data connections, model behavior, tool execution, APIs, permissions, and performance.

• Collaborate with Business Process Consultants, Product Engineering, Data Engineers, AI/ML Engineers, ServiceNow teams, and the AI Center of Excellence.

• Work directly with customers through discovery, workshops, technical sessions, demonstrations, pilots, production rollouts, and continuous improvement.

⛳️ Requirements

• 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-powered applications, AI-enabled automations, conversational experiences, RAG systems, or agentic workflows.

• Experience with API integration, enterprise applications, data platforms, or workflow systems within production environments.

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

• Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.

• Knowledge of prompt engineering, context windows, token utilization, embeddings, vector search, RAG, tool usage/function calling, structured outputs, and model evaluation.

• Understanding of responsible AI principles, 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 tasks effectively, travel approximately 25%, and deliver high-quality solutions in dynamic customer environments.

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

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

• Preferred: knowledge of vector databases, embeddings, document ingestion, chunking, retrieval strategies, LangChain, LangGraph, LlamaIndex, Semantic Kernel, 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.