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: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Other info: Be part of a diverse team committed to inclusivity and innovation.
- Why this job: Make a tangible impact by bridging AI technology and customer needs.
- Qualifications: 5-8 years in software engineering with AI experience preferred.
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.
Key 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.
- 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, and AI Center of Excellence teams.
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.
- 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 hr.uk@newrocket.com.
Forward Deployed AI Engineer -UK employer: NewRocket
NewRocket is an exceptional employer that fosters a collaborative and innovative work culture, where Forward Deployed AI Engineers can thrive while working remotely with occasional travel. Employees benefit from a commitment to diversity and inclusion, along with ample opportunities for professional growth through hands-on client engagement and contributions to cutting-edge AI platforms. With a focus on employee well-being and a supportive environment, NewRocket stands out as a rewarding place to build a meaningful career in AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed AI Engineer -UK
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AI and full-stack development. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI engineering. Think about how you’d tackle real-world problems and be ready to discuss your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Forward Deployed AI Engineer -UK
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Forward Deployed AI Engineer role. Highlight your experience with AI technologies, full-stack development, and client-facing roles. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include examples of your previous work that demonstrate your engineering skills and experience with AI implementations. If you've built prototypes or worked on integrations, let us know! This helps us understand your hands-on experience.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your technical skills and experiences. We appreciate a well-structured application that gets straight to the point without unnecessary fluff.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at NewRocket
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies and how they apply to real-world problems. Be ready to discuss specific examples of AI implementations you've worked on, especially in client-facing roles.
✨Understand ServiceNow Inside Out
Since this role involves deploying solutions within ServiceNow, it’s crucial to familiarise yourself with its development and automation capabilities. Prepare to talk about any past experiences you have with ServiceNow scripting or integrations.
✨Showcase Your Engineering Skills
Be prepared to demonstrate your full-stack engineering skills. Bring examples of projects where you’ve developed integrations or built prototypes, and be ready to explain the technical challenges you faced and how you overcame them.
✨Communicate Clearly
This role requires you to bridge the gap between technical and non-technical stakeholders. Practice explaining complex concepts in simple terms, and think of scenarios where you successfully communicated technical details to clients or team members.
