Forward Deployed AI Engineer

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

📋 Description

• Deploy, configure, and implement agentic AI workflows, assistants, and automations within client ServiceNow and enterprise settings.

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

• Integrate Agent Packs, AI accelerators, workflow solutions, enterprise systems, APIs, data platforms, identity systems, and AI services.

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

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

• Create demonstrations, prototypes, proof-of-concept projects, reusable implementation patterns, solution templates, prompt libraries, and deployment resources.

• Design secure integrations, scripts, microservices, automation logic, and lightweight user interfaces.

• Assess AI applications for relevance, accuracy, groundedness, safety, latency, cost, task completion, and user experience.

• Establish safeguards for sensitive data, permissions, prompt injection, unsafe tool usage, and unintended model behavior.

• Monitor, troubleshoot, enhance, and optimize deployed AI solutions.

• Contribute to the NewRocket 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, customers, and the AI Center of Excellence.

• Assist in workshops, discovery sessions, technical working groups, demonstrations, pilots, production rollouts, and ongoing improvements.

⛳️ 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.

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

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

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

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

• Understanding of responsible AI practices, 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.

• Capability to navigate ambiguity, prioritize tasks effectively, travel approximately 25%, and convey complex technical concepts to both technical and business stakeholders.

• Preferred: hands-on experience with Anthropic API, Claude, Anthropic Console, Claude Code, MCP, ServiceNow, vector databases, embeddings, LangChain, LangGraph, LlamaIndex, Semantic Kernel, Docker, CI/CD, SQL, Git, infrastructure-as-code, and secure cloud deployment.

🏝️ Benefits

• Remote work arrangement with approximately 25% travel required.

• A diverse and inclusive workplace environment.

• An equal opportunity workplace and affirmative action employer.

• Support for disability accommodations.