AI Tech Lead (m/f/d)

Job description

As a member of your #OneTeam, you will be the technical authority for the AI Solutions team. You will define and evolve our AI products to ensure high-performance, reliable, and scalable services, with particular focus on GPU infrastructure, model optimization, and operational excellence.

Key responsibilities

• Lead architectural decisions as the team's technical authority.
• Design and evolve the infrastructure required to deploy and operate AI models.
• Optimize model performance—including quantization, batching, KV cache, tensor/pipeline parallelism, and speculative decoding—and GPU resource use, including throughput, latency, memory footprint, and cost efficiency.
• Ensure reliability, scalability, and observability of production services.
• Contribute to the technical roadmap and support its implementation.
• Promote engineering best practices, including code reviews, quality, automation, and CI/CD.
• Actively monitor developments in the AI ecosystem and share knowledge with the team.
• Support the team's professional development.
• Challenge existing solutions and adapt to a constantly changing technology environment.

Your impact after six months

You will have settled in as the technical authority within AI Solutions and begun leading key architectural decisions. You will understand our GPU infrastructure and actively contribute to the technical roadmap. You will have helped optimize the first production models, improving latency and resource efficiency, and built trusted relationships that support the team's daily development. You will have applied a pragmatic “fail fast, learn fast” approach through rapid early iterations to maximize the impact of our AI products.

Your impact after one year

You will have strengthened the infrastructure needed to deploy AI models at scale and ensured excellent observability and reliability for production services. You will have fully embedded engineering best practices and automated workflows through DevOps and Kubernetes. Under your technical leadership, the team will have increased its maturity and velocity. Through active technology monitoring, you will have improved our stack with leading tools such as vLLM, SGLang, and TensorRT, keeping OVHcloud at the forefront of the AI ecosystem.

Required skills

• Strong experience in software development (Python, Rust, and back end), distributed systems, and deploying AI models in production.
• Excellent knowledge of GPU environments and capacity planning, as well as cloud infrastructure, Kubernetes, DevOps, and observability tools such as Prometheus, Grafana, and OpenTelemetry.
• Familiarity with leading frameworks such as vLLM, SGLang, TensorRT, or equivalent technologies.
• Natural leadership, able to build alignment around complex technical decisions, with excellent communication and collaboration skills.
• Adaptable and curious about rapidly evolving technology, with a strong focus on impact, outcomes, and rapid iteration.

A plus

You use an AI-native approach in your daily work, using coding assistants and generative-AI tools to increase productivity and the quality of your work.