NewRocket
Artificial Intelligence Engineer
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Artificial Intelligence Engineer
Forward Deployed AI Engineer
AI Foundry | NewRocket Remote with ~25% travel Reports to: Global AI Center of Excellence Lead
Role Overview
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. Forward Deployed AI Engineers partner closely with business consultants, product teams, and customer stakeholders to translate real-world problems into deployable AI-driven solutions.
You will help customers implement:
- Agentic AI workflows
- Intelligent automations
- AI-powered integrations within ServiceNow and enterprise ecosystems
While also contributing to the evolution of NewRocket’s AI platforms, including:
- NewRocket Intelligence Platform
- Value Realization Dashboard
- Data Intelligence Platform
This role requires: ✔ Strong engineering skills ✔ Curiosity about emerging AI technologies ✔ Ability to operate effectively in fast-moving customer environments
Key Responsibilities
Client Delivery & AI Solution Implementation
- Deploy and configure agentic AI workflows and AI-powered automations within 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.
Solution Engineering & Prototyping
- 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
- Agentic decision models
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Full Stack Engineering & Integration
- 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
- Enterprise data sources
Product & Platform Contribution
- Actively contribute to the development and evolution of NewRocket’s AI intellectual property, including:
- NewRocket Intelligence Platform
- Value Realization Dashboard
- Data Intelligence Platform
- Agent Packs & reusable AI solution accelerators
Key Contributions: ✔ Identify patterns and capabilities discovered in client deployments ✔ Contribute reusable assets and automation components ✔ Provide product feedback to improve platform capabilities ✔ Translate successful client implementations into repeatable platform features
Client Interaction & Technical Consulting
- Participate in workshops, discovery sessions, and technical working sessions.
- Serve as the engineering counterpart to consulting and delivery teams.
- Communicate architecture, system behavior, and technical tradeoffs clearly to stakeholders.
Systems Integration & Troubleshooting
- Diagnose and resolve technical issues across:
- AI workflows
- Integrations
- Automation pipelines
- Ensure deployed AI solutions are:
- Secure
- Scalable
- Production-ready
- Optimize systems for performance and reliability.
Cross-Team Collaboration
Internal Collaboration Partners:
- Business Process Consultants
- Product Engineering
- Data Engineers
- AI/ML Engineers
- AI Center of Excellence teams
Shared Responsibilities:
- Contribute to internal playbooks
- Build reusable deployment patterns
- Support product evolution
What Success Looks Like (First 6 Months)
✅ Successfully deploy AI-powered solutions across multiple client engagements. ✅ Deliver working AI workflows and integrations within ServiceNow environments. ✅ Build trusted relationships with both customer and internal delivery teams. ✅ Contribute reusable components and improvements to NewRocket’s AI platforms and accelerators. ✅ Provide actionable feedback to enhance NewRocket Intelligence Platform and related products.
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Required Qualifications
- 5–8+ years of experience in:
- Software engineering
- Systems integration
- Enterprise platforms or automation systems
- Strong foundation in:
- Full-stack development
- Scripting
- Enterprise integrations
- Experience with AI/LLM technologies or AI-powered applications
- Experience in client-facing engineering or consulting roles
- Proficiency with cloud platforms: AWS, Azure, or GCP
- Hands-on with JavaScript/TypeScript or Python (or similar)
Preferred Qualifications
ServiceNow Experience is a Strong Bonus
- Experience with ServiceNow development or workflow automation platforms
- Familiarity with ServiceNow: ➔ Scripting and APIs ➔ Platform development patterns ➔ CMDB, workflow/task tables ➔ Knowledge management ➔ Enterprise system integrations
AI & Platform Experience
- Experience building:
- AI prototypes
- RAG systems
- Agent-based workflows
- Experience integrating LLM APIs or AI services into enterprise systems
- Experience with:
- Vector databases
- Embeddings
- Semantic retrieval
Why This Role Matters
Forward Deployed AI Engineers act as the bridge between real-world enterprise problems and NewRocket’s AI platforms. By working directly with customers, they help deliver immediate value while shaping the evolution of NewRocket’s: 🚀 AI products 🛠 Accelerators 🛡️ Platform capabilities
This role is critical to scaling the NewRocket Intelligence Platform and AI Foundry strategy.
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