At a Glance
- Tasks: Design and deploy AI-driven customer engagement solutions using cutting-edge technology.
- Company: Join a forward-thinking AI company focused on innovative customer solutions.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with exciting career advancement opportunities.
- Why this job: Make a real impact by automating customer service with AI technology.
- Qualifications: Experience in full-stack development and AI systems is essential.
The predicted salary is between 60000 - 80000 £ per year.
A NiCE AI Forward Deployed Engineer is a highly technical full-stack engineer responsible for designing, building, and deploying AI-driven customer engagement solutions using the NiCE digital and AI portfolio. This role sits at the intersection of software engineering, AI agent development, and customer solution architecture. The engineer works directly with customers and internal stakeholders to translate complex business challenges into intelligent automation solutions across voice and digital channels.
The AI Forward Deployed Engineer will design, prototype, and operationalize AI agents that integrate with enterprise systems and deliver scalable customer self-service experiences powered by intelligent virtual agents, knowledge management, and omni‑channel engagement capabilities. This role requires deep technical expertise across full‑stack development, AI agent architectures, APIs, integrations, and conversational automation, combined with the ability to collaborate directly with customers and business leaders.
How will you make an impact?
- AI Agent Design & Development: Design and build AI‑driven virtual agents that automate customer service workflows across digital and voice channels. Develop intelligent automation using the NiCE AI and Digital portfolio, including conversational AI, knowledge systems, and omni‑channel engagement capabilities. Architect agent behaviours including intent handling, workflow orchestration, and multi‑system interactions. Continuously refine and evolve agents through iterative testing, model tuning, and performance optimisation.
- AI Agent Lifecycle Ownership: Own the full lifecycle of AI agents from initial design through deployment and ongoing optimisation. Define agent architecture including prompting strategies, knowledge retrieval patterns, and decision logic. Implement observability, evaluation, and feedback loops to improve agent accuracy, reliability, and business outcomes. Monitor agent performance and evolve agents to handle increasingly complex customer interactions.
- System Integration & Automation: Build integrations between AI agents and enterprise systems including CRM, commerce platforms, knowledge bases, and operational systems. Develop APIs, services, and orchestration layers enabling agents to perform real business transactions. Implement multi‑step workflows that coordinate API calls across multiple systems of record. Ensure secure, scalable, and reliable integrations across customer environments.
- Full Stack Solution Development: Build full‑stack solutions that support agent interactions including web interfaces, backend services, and integration layers. Develop prototypes and working applications that demonstrate end‑to‑end AI automation scenarios. Create reusable components and frameworks that accelerate development of new AI agent capabilities. Maintain and enhance demo environments and development environments used for solution innovation.
- Customer Solution Engineering: Partner directly with customers to understand operational challenges and identify opportunities for AI‑driven automation. Translate business requirements into technical architectures and working solutions. Build prototypes, proof‑of‑value implementations, and production‑ready agent capabilities. Act as a trusted technical advisor to both business and technology stakeholders.
- Product Innovation & Feedback: Collaborate with product, engineering, and sales teams to identify product gaps and innovation opportunities. Prototype new capabilities that extend the NiCE AI platform. Provide direct field insights that inform product roadmap and future platform capabilities. Contribute reusable patterns, integrations, and architectures that improve future deployments.
- Technical Demonstration & Enablement: Design and build advanced technical demonstrations showcasing AI‑driven customer experiences. Develop reusable demo frameworks and environments that illustrate enterprise use cases. Support sales engineering and presales teams in communicating the value of AI‑driven customer engagement solutions. Enable internal teams with technical knowledge of AI agents, integrations, and platform capabilities.
Have you got what it takes?
The AI Agent Engineer will work across several core technical domains:
- AI & Agent Systems: Large Language Models, Prompt engineering, Agent orchestration frameworks, Retrieval‑augmented knowledge systems, Conversational AI architecture.
- Full Stack Development: Backend services and APIs, Web and conversational interfaces, Integration layers, Data pipelines.
- Enterprise Integrations: REST APIs and microservices, CRM and business system integrations, Knowledge systems and data stores, Identity and access management.
Forward Deployed Engineer employer: NICE
At NiCE AI, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Forward Deployed Engineer, you will have the opportunity to work remotely in the UK, engaging directly with customers to create impactful AI-driven solutions while enjoying a supportive environment that prioritises professional growth and development. Our commitment to employee well-being is reflected in our flexible work arrangements, comprehensive benefits, and a strong emphasis on continuous learning, making us an ideal choice for those seeking meaningful and rewarding careers in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer
✨Tip Number 1
Get your networking game on! Connect with professionals in the AI and engineering fields on platforms like LinkedIn. Join relevant groups, participate in discussions, and don’t hesitate to reach out for informational chats. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and full-stack development. Include case studies that highlight your problem-solving abilities and how you’ve tackled complex challenges. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding AI concepts. Practice common interview questions and consider mock interviews with friends or mentors. The more comfortable you are, the better you’ll perform when it counts!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience with AI-driven solutions and customer engagement, and let us see how you can make an impact at NiCE AI!
We think you need these skills to ace Forward Deployed Engineer
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your technical expertise in full-stack development and AI systems. We want to see how your skills align with the role, so don’t hold back on showcasing your experience with APIs, integrations, and conversational automation.
Tailor Your Application:Take a moment to customise your application for this specific role. Use the job description as a guide and reflect on how your past experiences relate to the responsibilities of a Forward Deployed Engineer. This shows us that you’re genuinely interested and have done your homework!
Be Clear and Concise:While we love detail, clarity is key! Make sure your application is easy to read and straight to the point. Use bullet points where necessary to break down your achievements and skills, making it easier for us to see why you’d be a great fit.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at NICE
✨Know Your Tech Inside Out
As a Forward Deployed Engineer, you'll need to showcase your deep technical expertise. Brush up on full-stack development, AI agent architectures, and APIs. Be ready to discuss specific projects where you've designed or built AI-driven solutions.
✨Understand the Customer's Needs
This role involves direct interaction with customers, so it's crucial to demonstrate your ability to translate complex business challenges into technical solutions. Research potential customer pain points and think about how you can address them with intelligent automation.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled challenges in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers, especially when talking about designing and operationalising AI agents or integrating systems.
✨Be Ready for Technical Demonstrations
You might be asked to present a technical demonstration or prototype during the interview. Have a few examples ready that highlight your skills in building full-stack solutions and AI-driven customer experiences. Make sure to explain your thought process clearly!
