[Remote] Forward Deployed Artificial Intelligence Engineer

Note: The job is a remote job and is open to candidates in USA. NewRocket is seeking a Forward Deployed AI Engineer to join the AI Foundry team and work directly with customers to deploy and operationalize AI-powered workflow solutions. This role blends full-stack engineering, AI implementation, and client-facing solution delivery, requiring strong engineering skills and curiosity about emerging AI technologies.

Responsibilities

• Deploy and configure agentic AI workflows and AI-powered automations within client ServiceNow environments
• Translate customer business requirements into technical architectures and implementation plans
• Implement and integrate NewRocket Agent Packs and AI solutions into enterprise environments
• Work directly with customers to tailor AI solutions to their operational workflows and business processes
• Build demos, prototypes, and proof-of-concept implementations to validate AI-driven workflows with clients
• Rapidly iterate solutions with customers to refine AI-powered use cases
• Support implementation of AI orchestration, LLM integrations, and agentic decision models
• Develop integrations between ServiceNow, enterprise systems, APIs, and AI services
• Build supporting components such as scripts, microservices, automation logic, and integration services
• Implement integrations with AI platforms, APIs, and enterprise data sources
• Actively contribute to the development and evolution of NewRocket’s AI intellectual property and platforms, including: NewRocket Intelligence Platform, Value Realization Dashboard, Data Intelligence Platform, Agent Packs and reusable AI solution accelerators
• Identify patterns and capabilities discovered in client deployments
• Contribute reusable assets and automation components
• Provide product feedback that improves platform capabilities
• Help transform successful client implementations into repeatable platform features
• Participate in workshops, discovery sessions, and technical working sessions with customers
• Serve as the engineering counterpart to consulting and delivery teams
• Communicate architecture, system behavior, and technical tradeoffs clearly to stakeholders
• Diagnose and resolve technical issues across AI workflows, integrations, and automation pipelines
• Ensure deployed AI solutions are secure, scalable, and production-ready
• Optimize deployed systems for performance and reliability
• Work closely with: Business Process Consultants, Product Engineering, Data Engineers, AI / ML Engineers, AI Center of Excellence teams
• Contribute to internal playbooks, reusable deployment patterns, and product evolution

Skills

• 5–8+ years of experience in software engineering, systems integration, enterprise platforms, or automation systems
• Strong engineering foundation with experience in full-stack development, scripting, or enterprise integrations
• Experience working with AI / LLM technologies or AI-powered applications
• Experience operating in client-facing engineering or consulting roles
• Experience with cloud platforms such as AWS, Azure, or GCP
• Experience with languages such as: JavaScript / TypeScript, Python
• Strong ability to communicate complex technical concepts to both technical and business stakeholders
• ServiceNow Experience (Strong Plus)
• Experience with ServiceNow development or workflow automation platforms
• Familiarity with ServiceNow scripting, APIs, and platform development patterns
• Understanding of ServiceNow data models, including: CMDB, workflow / task tables, knowledge management, integrations with enterprise systems
• Experience building AI prototypes, RAG systems, or agent-based workflows
• Experience integrating LLM APIs or AI services into enterprise systems
• Experience with vector databases, embeddings, or semantic retrieval
• Experience contributing to internal platforms, reusable accelerators, or product capabilities

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