[Hiring] Forward Deployed AI Engineer @NewRocket

Role Description

NewRocket is seeking a highly skilled Senior Forward Deployed AI Engineer to join the AI Foundry team and work directly with customers to deploy, operationalize, and scale AI-powered workflow solutions. This role blends full-stack engineering, enterprise integration, generative AI implementation, and client-facing solution delivery.

• Deploy, configure, and operationalize agentic AI workflows, AI assistants, and AI-powered automations within client ServiceNow environments and enterprise technology ecosystems.
• Translate customer business requirements, operational processes, and desired outcomes into technical architectures, implementation plans, and production-ready AI solutions.
• Implement and integrate NewRocket Agent Packs, AI accelerators, and workflow solutions into enterprise environments.
• Work directly with customer teams to tailor AI solutions to their operating models, business processes, data sources, security requirements, and user needs.
• Support workshops, discovery sessions, technical working sessions, demonstrations, pilots, and production rollouts.
• Clearly communicate AI capabilities, limitations, tradeoffs, solution behavior, and adoption considerations to technical and business stakeholders.

Qualifications

• 5-8 years of experience in software engineering, systems integration, enterprise platforms, workflow automation, or related technical delivery roles.
• Strong engineering foundation, with 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 cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
• Familiarity with modern LLM application concepts, including prompt engineering, context windows, token usage, embeddings, vector search, RAG, tool use/function calling, structured outputs, and model evaluation.
• Understanding of responsible AI concepts, including hallucination mitigation, sensitive-data handling, identity and access controls, human oversight, AI safety, and secure AI deployment.
• Experience operating in customer-facing engineering, consulting, technical implementation, solutions architecture, or professional-services roles.
• Strong problem-solving skills and the ability to communicate complex technical concepts clearly to both technical and business stakeholders.
• Ability to manage ambiguity, prioritize effectively, travel approximately 25%, and deliver high-quality solutions in fast-moving customer environments.

Requirements

• Hands-on experience with the Anthropic API, Claude models, Anthropic Console, Claude Code, or Anthropic implementation guidance.
• Completion of relevant Anthropic Academy learning, partner enablement, technical training, or equivalent hands-on experience deploying Claude-based solutions.
• Experience applying Claude capabilities such as long-context processing, tool use, structured outputs, document analysis, and enterprise knowledge workflows.
• Experience with ServiceNow development, configuration, workflow automation, or enterprise platform implementation.
• Familiarity with ServiceNow scripting, APIs, IntegrationHub, Flow Designer, Virtual Agent, Now Assist, AI Agents, and platform development patterns.
• Understanding of ServiceNow data models and enterprise workflow concepts.
• Experience building AI prototypes, RAG systems, semantic search capabilities, AI assistants, or agent-based workflows.
• Experience integrating LLM APIs or AI services into enterprise applications and business processes.
• Experience with vector databases, embeddings, document ingestion, chunking, retrieval strategies, and knowledge-grounding patterns.
• Familiarity with LLM orchestration and application frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or comparable tools.
• Experience with AI observability, tracing, evaluation frameworks, prompt/version management, monitoring, and cost optimization.
• Familiarity with Docker, CI/CD, SQL, Git, infrastructure-as-code, and secure cloud deployment practices.

Benefits

• NewRocket is committed to a diverse and inclusive workplace.
• We value and celebrate diversity, believing that every employee matters and should be respected and heard.
• We are proud to be an equal opportunity workplace and affirmative action employer.
• We provide employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status.
• For individuals with disabilities who would like to request an accommodation, please contact [email protected].