NVIDIA AI Solutions Engineer - Prototyping & Production Ready

Bell Integration; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Bell Integration is seeking an NVIDIA Engineer to design and deliver NVIDIA-enabled AI solutions for enterprise and public-sector clients. You will translate complex problems into working demonstrations, scalable accelerators, and production-ready deployment patterns.

The role requires hands-on experience with NVIDIA’s AI stack, agentic frameworks, and enterprise deployment practices, ensuring guardrails, observability, and secure, governed demos.

Qualifications

• Master’s degree in CS or AI related field.
• NVIDIA certification is mandatory.
• Proven ability to build AI use cases, prototypes and POCs for large enterprise clients.
• Strong experience using NVIDIA AI products for production-grade solution development.

Responsibilities

• Design and build AI use cases and POCs for strategic clients.
• Prototype agentic workflows, copilots, and automation solutions.
• Develop and optimize inference pipelines for large language models and multimodal AI.
• Build secure, governed, enterprise-ready AI demos and pilots.
• Work closely with the AI Director, solution architects, and delivery teams to shape technical proposals.
• Create reusable accelerators, blueprints, and reference implementations.
• Present technical solutions to client stakeholders and senior leadership.
• Support R&D experiments, benchmarking, and platform evaluations.
• Contribute to deployment patterns for cloud, sovereign cloud, and hybrid environments.
• Ensure safe and responsible AI design with guardrails, evaluation, and observability.

Skills

LLM app development

API integration

Docker

Kubernetes

Azure

Git CI/CD

Observability

Education

Master’s degree in Computer Science or related field

Tools

TensorRT

Triton Inference Server

NeMo Guardrails

NVIDIA NeMo Customizer

cuDF / RAPIDS

Job description

Bell Integration is seeking an NVIDIA Engineer to design and deliver NVIDIA-enabled AI solutions for enterprise and public-sector clients. You will translate complex problems into working demonstrations, scalable accelerators, and production-ready deployment patterns.

The role requires hands-on experience with NVIDIA’s AI stack, agentic frameworks, and enterprise deployment practices, ensuring guardrails, observability, and secure, governed demos.