At a Glance
- Tasks: Deploy AI solutions and collaborate with clients to solve real-world problems.
- Company: Join NewRocket, a leader in AI innovation and client-focused solutions.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on cutting-edge AI technologies.
- Why this job: Make a tangible impact by bridging AI technology and customer needs.
- Qualifications: 5-8 years in software engineering, with AI and client-facing experience.
The predicted salary is between 60000 - 80000 £ per year.
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, and 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, and 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, and 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.
Remote Engineer:in (m/w/d) employer: NewRocket
NewRocket is an exceptional employer that fosters a collaborative and innovative work culture, allowing Forward Deployed AI Engineers to thrive in a remote environment with opportunities for travel. Employees benefit from continuous professional development, engaging directly with clients to implement cutting-edge AI solutions while contributing to the evolution of NewRocket's AI platforms. With a strong emphasis on teamwork and knowledge sharing, NewRocket empowers its engineers to make a meaningful impact in the AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Engineer:in (m/w/d)
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at NewRocket or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to NewRocket.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like NewRocket.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like NewRocket that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Remote Engineer:in (m/w/d)
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at NewRocket.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at NewRocket and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at NewRocket
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If NewRocket uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
