We are looking for an experienced NVIDIA AI Engineer to design and deliver innovative AI solutions for enterprise and public-sector clients.
You will build proofs of concept, agentic workflows, copilots and production-ready accelerators, turning complex client challenges into secure and scalable solutions.
Key responsibilities:
- Build AI prototypes, demonstrations and production solutions.
- Develop agentic AI, RAG and multimodal applications.
- Create reusable accelerators and deployment patterns.
- Present solutions to technical and senior business stakeholders.
- Support deployments across Azure, hybrid and sovereign-cloud environments.
- Apply appropriate AI security, governance and monitoring.
- Strong Python and LLM application-development skills.
- Commercial experience with NVIDIA’s AI stack, such as NIM, NeMo, TensorRT-LLM, Triton or AI Blueprints.
- Experience with RAG, APIs, Docker, Kubernetes and CI/CD.
- A track record of delivering AI prototypes or solutions for enterprise clients.
- At least one current NVIDIA certification.
You should be comfortable combining hands-on engineering with client-facing work and able to move quickly from an initial idea to a secure, demonstrable solution.
Experience within government, financial services, healthcare, life sciences or another regulated sector would be beneficial.
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NVIDIA AI Engineer employer: Franklin Fitch
As a Service Coordinator at our dynamic MSP, you'll thrive in a collaborative and supportive work culture that values innovation and proactive problem-solving. We offer competitive salaries, hybrid working options, and ample opportunities for professional growth, allowing you to expand your role and engage in exciting operational projects. Join us in a vibrant location where your contributions will be recognised and rewarded, making a meaningful impact on our business and customers alike.
