NewRocket Logo

NewRocket

Forward Deployed AI Engineer

Posted Yesterday
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
The role focuses on deploying AI-driven solutions and integrating them within client environments. Responsibilities include client interaction, engineering, prototyping, and contributing to NewRocket's AI platforms.
The summary above was generated by AI

Forward Deployed AI Engineer

AI Foundry | NewRocket

Location: Remote with travel (~25%)
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, and AI-powered integrations within ServiceNow and enterprise ecosystems, while also contributing to the evolution of NewRocket’s AI platforms, accelerators, and intellectual property, including the NewRocket Intelligence Platform, Value Realization Dashboard, and Data Intelligence Platform.

This role requires strong engineering skills, curiosity about emerging AI technologies, and the 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 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.

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, and agentic decision models.

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, and enterprise data sources.

Product & Platform Contribution

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

Responsibilities include:

identifying patterns and capabilities discovered in client deployments

contributing reusable assets and automation components

providing product feedback that improves platform capabilities

helping transform successful client implementations into repeatable platform features

Client Interaction & Technical Consulting

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.

Systems Integration & Troubleshooting

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.

Cross-Team Collaboration

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.

What Success Looks Like (First 6 Months)

Successfully deploy AI-powered solutions across multiple client engagements.

Deliver working AI workflows and integrations within customer ServiceNow environments.

Build trusted relationships with customer teams and internal delivery teams.

Contribute reusable components and improvements to NewRocket’s AI platforms and accelerators.

Provide actionable feedback that improves the NewRocket Intelligence Platform and related products.

Required Qualifications

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

or similar scripting languages.

Strong ability to communicate complex technical concepts to both technical and business stakeholders.

Preferred Qualifications

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.

AI & Platform Experience

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.

Why This Role Matters

Forward Deployed AI Engineers serve as the bridge between real-world enterprise problems and NewRocket’s AI platforms. By working directly with customers, they help deliver immediate value while also shaping the evolution of NewRocket’s AI products, accelerators, and platform capabilities.

This role is critical to scaling the NewRocket Intelligence Platform and AI Foundry strategy.

We Take Care of Our People

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, committed to providing 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].

Top Skills

AWS
Azure
GCP
JavaScript
Python
Servicenow
Typescript

Similar Jobs

Yesterday
Remote
2 Locations
116K-192K Annually
Expert/Leader
116K-192K Annually
Expert/Leader
Cloud • Information Technology • Internet of Things • Software • Consulting • Infrastructure as a Service (IaaS) • Automation
The role involves leading technical deliveries for customer AI implementations, providing expert advice on optimization, and facilitating stakeholder communication while managing expectations in a post-sales environment.
Top Skills: AIGenerative AiInferenceKserveKubernetesLlmsOpenshiftPythonVllm
3 Days Ago
Remote
United States
210K-262K Annually
Senior level
210K-262K Annually
Senior level
Software • Financial Services
The Principal AI Forward Deployed Engineer drives AI adoption and implementation at enterprise accounts, advising senior finance stakeholders and managing AI use cases and change management strategies.
Top Skills: AIC#ETLMachine LearningPythonRest ApisSQL
8 Days Ago
Easy Apply
Remote
USA
Easy Apply
Mid level
Mid level
Cloud • Software • Analytics
The AI Forward Deployed Engineer designs and deploys AI-driven solutions, collaborates with customers, develops integrations, and enhances automation technologies.
Top Skills: APIsBackend ServicesConversational AiCRMData PipelinesLarge Language ModelsMicroservicesRest Apis

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account