Lead AI Architect (AIOS)

About the role

Mercedes-Benz is looking for a self‑motivated Lead AI Architect to design and evolve a vehicle‑cloud integrated AI architecture across major vehicle domains. The role is highly hands‑on, focusing on industrialising AI algorithms and delivering them to mass‑production vehicles.

Key responsibilities

• Own the end‑to‑end vehicle‑cloud AI architecture, covering cloud platforms, on‑board deployment, cross‑domain orchestration and model lifecycle management.
• Drive AI use‑case implementation from requirements and design through training, fine‑tuning, vehicle‑side optimisation and mass‑production release.
• Design and optimise cloud‑side AI capabilities, including model evaluation, data preparation, fleet‑based updates and collaborative inference.
• Lead on‑board AI model adaptation – quantisation, latency, memory and power/thermal optimisation for automotive SoCs.
• Translate research results, open‑source models and prototypes into stable, automotive‑grade AI functions.
• Collaborate with cloud, hardware, software and testing teams to align architecture, resolve blockers and accelerate feature delivery.

Required profile

• 5+ years of production‑oriented AI engineering experience, preferably in automotive OEM or Tier‑1 environments.
• Strong hands‑on expertise in model training, fine‑tuning, optimisation, quantisation and deployment.
• Deep understanding of vehicle‑cloud integrated AI systems, OTA updates and closed‑loop data pipelines.
• Knowledge of multiple vehicle domains (cockpit, ADAS/ADS, body, chassis, powertrain) and automotive E/E architecture.
• Proven ability to take AI features from prototype to mass production, including on‑vehicle integration and debugging.
• Excellent cross‑team communication, analytical problem‑solving and technical leadership skills; fluent English.

Required skills

• Computer vision
• Large language models
• Model training and fine‑tuning
• Model optimisation and quantisation
• AI algorithm industrialisation
• Automotive embedded AI and SoC optimisation
• Vehicle‑cloud integration, OTA updates and closed‑loop data management